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Here are some common data pre-processing techniques:"}),"\n",(0,t.jsxs)(a.ol,{children:["\n",(0,t.jsx)(a.li,{children:"Load the data: Import the data from various sources such as CSV files, databases, APIs, etc."}),"\n",(0,t.jsx)(a.li,{children:"Handle inconsistent data: Check for missing values, duplicate records, and outliers."}),"\n",(0,t.jsx)(a.li,{children:"Data standardization: Normalize the data to a common scale to make it easier to compare."}),"\n",(0,t.jsx)(a.li,{children:"Data transformation: Convert categorical data into numerical values using techniques like one-hot encoding."}),"\n",(0,t.jsx)(a.li,{children:"Introduction of models validation: Split the data into training and testing sets to evaluate the model's performance."}),"\n"]}),"\n",(0,t.jsx)(a.p,{children:"How to save the vars in a file and load them later:"}),"\n",(0,t.jsx)(a.pre,{children:(0,t.jsx)(a.code,{className:"language-python",children:"import pickle\n\n# Save the variables to a file\nwith open('vars.pkl', 'wb') as f:\n pickle.dump([X_train, X_test, y_train, y_test], f)\n\n# Load the variables from a file\nwith open('vars.pkl', 'rb') as f:\n X_train, X_test, y_train, y_test = pickle.load(f)\n"})}),"\n",(0,t.jsx)(a.p,{children:"Pickle has some security and maintainability issues, so it's better to use joblib for large numpy arrays:"}),"\n",(0,t.jsx)(a.pre,{children:(0,t.jsx)(a.code,{className:"language-python",children:"from joblib import dump, load\n\n# Save the variables to a file\ndump([X_train, X_test, y_train, y_test], 'vars.joblib')\n\n# Load the variables from a file\nX_train, X_test, y_train, y_test = load('vars.joblib')\n"})})]})}function d(e={}){const{wrapper:a}={...(0,r.RP)(),...e.components};return a?(0,t.jsx)(a,{...e,children:(0,t.jsx)(p,{...e})}):p(e)}},5680:(e,a,n)=>{n.d(a,{RP:()=>l});var t=n(6540);function r(e,a,n){return a in e?Object.defineProperty(e,a,{value:n,enumerable:!0,configurable:!0,writable:!0}):e[a]=n,e}function i(e,a){var 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e.content?e.content:e.content.map(s).join(""):""};e.hooks.add("after-tokenize",(function(e){"jsx"!==e.language&&"tsx"!==e.language||i(e.tokens)}))}(C),function(e){var t=e.util.clone(e.languages.typescript);(t=(e.languages.tsx=e.languages.extend("jsx",t),delete e.languages.tsx.parameter,delete 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e.languages.kotlin["class-name"];var t={"interpolation-punctuation":{pattern:/^\$\{?|\}$/,alias:"punctuation"},expression:{pattern:/[\s\S]+/,inside:e.languages.kotlin}};e.languages.insertBefore("kotlin","string",{"string-literal":[{pattern:/"""(?:[^$]|\$(?:(?!\{)|\{[^{}]*\}))*?"""/,alias:"multiline",inside:{interpolation:{pattern:/\$(?:[a-z_]\w*|\{[^{}]*\})/i,inside:t},string:/[\s\S]+/}},{pattern:/"(?:[^"\\\r\n$]|\\.|\$(?:(?!\{)|\{[^{}]*\}))*"/,alias:"singleline",inside:{interpolation:{pattern:/((?:^|[^\\])(?:\\{2})*)\$(?:[a-z_]\w*|\{[^{}]*\})/i,lookbehind:!0,inside:t},string:/[\s\S]+/}}],char:{pattern:/'(?:[^'\\\r\n]|\\(?:.|u[a-fA-F0-9]{0,4}))'/,greedy:!0}}),delete e.languages.kotlin.string,e.languages.insertBefore("kotlin","keyword",{annotation:{pattern:/\B@(?:\w+:)?(?:[A-Z]\w*|\[[^\]]+\])/,alias:"builtin"}}),e.languages.insertBefore("kotlin","function",{label:{pattern:/\b\w+@|@\w+\b/,alias:"symbol"}}),e.languages.kt=e.languages.kotlin,e.languages.kts=e.languages.kotlin}(C),C.languages.c=C.languages.extend("clike",{comment:{pattern:/\/\/(?:[^\r\n\\]|\\(?:\r\n?|\n|(?![\r\n])))*|\/\*[\s\S]*?(?:\*\/|$)/,greedy:!0},string:{pattern:/"(?:\\(?:\r\n|[\s\S])|[^"\\\r\n])*"/,greedy:!0},"class-name":{pattern:/(\b(?:enum|struct)\s+(?:__attribute__\s*\(\([\s\S]*?\)\)\s*)?)\w+|\b[a-z]\w*_t\b/,lookbehind:!0},keyword:/\b(?:_Alignas|_Alignof|_Atomic|_Bool|_Complex|_Generic|_Imaginary|_Noreturn|_Static_assert|_Thread_local|__attribute__|asm|auto|break|case|char|const|continue|default|do|double|else|enum|extern|float|for|goto|if|inline|int|long|register|return|short|signed|sizeof|static|struct|switch|typedef|typeof|union|unsigned|void|volatile|while)\b/,function:/\b[a-z_]\w*(?=\s*\()/i,number:/(?:\b0x(?:[\da-f]+(?:\.[\da-f]*)?|\.[\da-f]+)(?:p[+-]?\d+)?|(?:\b\d+(?:\.\d*)?|\B\.\d+)(?:e[+-]?\d+)?)[ful]{0,4}/i,operator:/>>=?|<<=?|->|([-+&|:])\1|[?:~]|[-+*/%&|^!=<>]=?/}),C.languages.insertBefore("c","string",{char:{pattern:/'(?:\\(?:\r\n|[\s\S])|[^'\\\r\n]){0,32}'/,greedy:!0}}),C.languages.insertBefore("c","string",{macro:{pattern:/(^[\t 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C.languages.c.boolean,C.languages.objectivec=C.languages.extend("c",{string:{pattern:/@?"(?:\\(?:\r\n|[\s\S])|[^"\\\r\n])*"/,greedy:!0},keyword:/\b(?:asm|auto|break|case|char|const|continue|default|do|double|else|enum|extern|float|for|goto|if|in|inline|int|long|register|return|self|short|signed|sizeof|static|struct|super|switch|typedef|typeof|union|unsigned|void|volatile|while)\b|(?:@interface|@end|@implementation|@protocol|@class|@public|@protected|@private|@property|@try|@catch|@finally|@throw|@synthesize|@dynamic|@selector)\b/,operator:/-[->]?|\+\+?|!=?|<>?=?|==?|&&?|\|\|?|[~^%?*\/@]/}),delete C.languages.objectivec["class-name"],C.languages.objc=C.languages.objectivec,C.languages.reason=C.languages.extend("clike",{string:{pattern:/"(?:\\(?:\r\n|[\s\S])|[^\\\r\n"])*"/,greedy:!0},"class-name":/\b[A-Z]\w*/,keyword:/\b(?:and|as|assert|begin|class|constraint|do|done|downto|else|end|exception|external|for|fun|function|functor|if|in|include|inherit|initializer|lazy|let|method|module|mutable|new|nonrec|object|of|open|or|private|rec|sig|struct|switch|then|to|try|type|val|virtual|when|while|with)\b/,operator:/\.{3}|:[:=]|\|>|->|=(?:==?|>)?|<=?|>=?|[|^?'#!~`]|[+\-*\/]\.?|\b(?:asr|land|lor|lsl|lsr|lxor|mod)\b/}),C.languages.insertBefore("reason","class-name",{char:{pattern:/'(?:\\x[\da-f]{2}|\\o[0-3][0-7][0-7]|\\\d{3}|\\.|[^'\\\r\n])'/,greedy:!0},constructor:/\b[A-Z]\w*\b(?!\s*\.)/,label:{pattern:/\b[a-z]\w*(?=::)/,alias:"symbol"}}),delete C.languages.reason.function,function(e){for(var t=/\/\*(?:[^*/]|\*(?!\/)|\/(?!\*)|)*\*\//.source,n=0;n<2;n++)t=t.replace(//g,(function(){return t}));t=t.replace(//g,(function(){return/[^\s\S]/.source})),e.languages.rust={comment:[{pattern:RegExp(/(^|[^\\])/.source+t),lookbehind:!0,greedy:!0},{pattern:/(^|[^\\:])\/\/.*/,lookbehind:!0,greedy:!0}],string:{pattern:/b?"(?:\\[\s\S]|[^\\"])*"|b?r(#*)"(?:[^"]|"(?!\1))*"\1/,greedy:!0},char:{pattern:/b?'(?:\\(?:x[0-7][\da-fA-F]|u\{(?:[\da-fA-F]_*){1,6}\}|.)|[^\\\r\n\t'])'/,greedy:!0},attribute:{pattern:/#!?\[(?:[^\[\]"]|"(?:\\[\s\S]|[^\\"])*")*\]/,greedy:!0,alias:"attr-name",inside:{string:null}},"closure-params":{pattern:/([=(,:]\s*|\bmove\s*)\|[^|]*\||\|[^|]*\|(?=\s*(?:\{|->))/,lookbehind:!0,greedy:!0,inside:{"closure-punctuation":{pattern:/^\||\|$/,alias:"punctuation"},rest:null}},"lifetime-annotation":{pattern:/'\w+/,alias:"symbol"},"fragment-specifier":{pattern:/(\$\w+:)[a-z]+/,lookbehind:!0,alias:"punctuation"},variable:/\$\w+/,"function-definition":{pattern:/(\bfn\s+)\w+/,lookbehind:!0,alias:"function"},"type-definition":{pattern:/(\b(?:enum|struct|trait|type|union)\s+)\w+/,lookbehind:!0,alias:"class-name"},"module-declaration":[{pattern:/(\b(?:crate|mod)\s+)[a-z][a-z_\d]*/,lookbehind:!0,alias:"namespace"},{pattern:/(\b(?:crate|self|super)\s*)::\s*[a-z][a-z_\d]*\b(?:\s*::(?:\s*[a-z][a-z_\d]*\s*::)*)?/,lookbehind:!0,alias:"namespace",inside:{punctuation:/::/}}],keyword:[/\b(?:Self|abstract|as|async|await|become|box|break|const|continue|crate|do|dyn|else|enum|extern|final|fn|for|if|impl|in|let|loop|macro|match|mod|move|mut|override|priv|pub|ref|return|self|static|struct|super|trait|try|type|typeof|union|unsafe|unsized|use|virtual|where|while|yield)\b/,/\b(?:bool|char|f(?:32|64)|[ui](?:8|16|32|64|128|size)|str)\b/],function:/\b[a-z_]\w*(?=\s*(?:::\s*<|\())/,macro:{pattern:/\b\w+!/,alias:"property"},constant:/\b[A-Z_][A-Z_\d]+\b/,"class-name":/\b[A-Z]\w*\b/,namespace:{pattern:/(?:\b[a-z][a-z_\d]*\s*::\s*)*\b[a-z][a-z_\d]*\s*::(?!\s*<)/,inside:{punctuation:/::/}},number:/\b(?:0x[\dA-Fa-f](?:_?[\dA-Fa-f])*|0o[0-7](?:_?[0-7])*|0b[01](?:_?[01])*|(?:(?:\d(?:_?\d)*)?\.)?\d(?:_?\d)*(?:[Ee][+-]?\d+)?)(?:_?(?:f32|f64|[iu](?:8|16|32|64|size)?))?\b/,boolean:/\b(?:false|true)\b/,punctuation:/->|\.\.=|\.{1,3}|::|[{}[\];(),:]/,operator:/[-+*\/%!^]=?|=[=>]?|&[&=]?|\|[|=]?|<>?=?|[@?]/},e.languages.rust["closure-params"].inside.rest=e.languages.rust,e.languages.rust.attribute.inside.string=e.languages.rust.string}(C),C.languages.go=C.languages.extend("clike",{string:{pattern:/(^|[^\\])"(?:\\.|[^"\\\r\n])*"|`[^`]*`/,lookbehind:!0,greedy:!0},keyword:/\b(?:break|case|chan|const|continue|default|defer|else|fallthrough|for|func|go(?:to)?|if|import|interface|map|package|range|return|select|struct|switch|type|var)\b/,boolean:/\b(?:_|false|iota|nil|true)\b/,number:[/\b0(?:b[01_]+|o[0-7_]+)i?\b/i,/\b0x(?:[a-f\d_]+(?:\.[a-f\d_]*)?|\.[a-f\d_]+)(?:p[+-]?\d+(?:_\d+)*)?i?(?!\w)/i,/(?:\b\d[\d_]*(?:\.[\d_]*)?|\B\.\d[\d_]*)(?:e[+-]?[\d_]+)?i?(?!\w)/i],operator:/[*\/%^!=]=?|\+[=+]?|-[=-]?|\|[=|]?|&(?:=|&|\^=?)?|>(?:>=?|=)?|<(?:<=?|=|-)?|:=|\.\.\./,builtin:/\b(?:append|bool|byte|cap|close|complex|complex(?:64|128)|copy|delete|error|float(?:32|64)|u?int(?:8|16|32|64)?|imag|len|make|new|panic|print(?:ln)?|real|recover|rune|string|uintptr)\b/}),C.languages.insertBefore("go","string",{char:{pattern:/'(?:\\.|[^'\\\r\n]){0,10}'/,greedy:!0}}),delete C.languages.go["class-name"],function(e){var t=/\b(?:alignas|alignof|asm|auto|bool|break|case|catch|char|char16_t|char32_t|char8_t|class|co_await|co_return|co_yield|compl|concept|const|const_cast|consteval|constexpr|constinit|continue|decltype|default|delete|do|double|dynamic_cast|else|enum|explicit|export|extern|final|float|for|friend|goto|if|import|inline|int|int16_t|int32_t|int64_t|int8_t|long|module|mutable|namespace|new|noexcept|nullptr|operator|override|private|protected|public|register|reinterpret_cast|requires|return|short|signed|sizeof|static|static_assert|static_cast|struct|switch|template|this|thread_local|throw|try|typedef|typeid|typename|uint16_t|uint32_t|uint64_t|uint8_t|union|unsigned|using|virtual|void|volatile|wchar_t|while)\b/,n=/\b(?!)\w+(?:\s*\.\s*\w+)*\b/.source.replace(//g,(function(){return t.source}));e.languages.cpp=e.languages.extend("c",{"class-name":[{pattern:RegExp(/(\b(?:class|concept|enum|struct|typename)\s+)(?!)\w+/.source.replace(//g,(function(){return t.source}))),lookbehind:!0},/\b[A-Z]\w*(?=\s*::\s*\w+\s*\()/,/\b[A-Z_]\w*(?=\s*::\s*~\w+\s*\()/i,/\b\w+(?=\s*<(?:[^<>]|<(?:[^<>]|<[^<>]*>)*>)*>\s*::\s*\w+\s*\()/],keyword:t,number:{pattern:/(?:\b0b[01']+|\b0x(?:[\da-f']+(?:\.[\da-f']*)?|\.[\da-f']+)(?:p[+-]?[\d']+)?|(?:\b[\d']+(?:\.[\d']*)?|\B\.[\d']+)(?:e[+-]?[\d']+)?)[ful]{0,4}/i,greedy:!0},operator:/>>=?|<<=?|->|--|\+\+|&&|\|\||[?:~]|<=>|[-+*/%&|^!=<>]=?|\b(?:and|and_eq|bitand|bitor|not|not_eq|or|or_eq|xor|xor_eq)\b/,boolean:/\b(?:false|true)\b/}),e.languages.insertBefore("cpp","string",{module:{pattern:RegExp(/(\b(?:import|module)\s+)/.source+"(?:"+/"(?:\\(?:\r\n|[\s\S])|[^"\\\r\n])*"|<[^<>\r\n]*>/.source+"|"+/(?:\s*:\s*)?|:\s*/.source.replace(//g,(function(){return n}))+")"),lookbehind:!0,greedy:!0,inside:{string:/^[<"][\s\S]+/,operator:/:/,punctuation:/\./}},"raw-string":{pattern:/R"([^()\\ 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e.content?e.content:e.content.map(s).join(""):""};e.hooks.add("after-tokenize",(function(e){"jsx"!==e.language&&"tsx"!==e.language||i(e.tokens)}))}(C),function(e){var t=e.util.clone(e.languages.typescript);(t=(e.languages.tsx=e.languages.extend("jsx",t),delete e.languages.tsx.parameter,delete 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e.languages.kotlin["class-name"];var t={"interpolation-punctuation":{pattern:/^\$\{?|\}$/,alias:"punctuation"},expression:{pattern:/[\s\S]+/,inside:e.languages.kotlin}};e.languages.insertBefore("kotlin","string",{"string-literal":[{pattern:/"""(?:[^$]|\$(?:(?!\{)|\{[^{}]*\}))*?"""/,alias:"multiline",inside:{interpolation:{pattern:/\$(?:[a-z_]\w*|\{[^{}]*\})/i,inside:t},string:/[\s\S]+/}},{pattern:/"(?:[^"\\\r\n$]|\\.|\$(?:(?!\{)|\{[^{}]*\}))*"/,alias:"singleline",inside:{interpolation:{pattern:/((?:^|[^\\])(?:\\{2})*)\$(?:[a-z_]\w*|\{[^{}]*\})/i,lookbehind:!0,inside:t},string:/[\s\S]+/}}],char:{pattern:/'(?:[^'\\\r\n]|\\(?:.|u[a-fA-F0-9]{0,4}))'/,greedy:!0}}),delete e.languages.kotlin.string,e.languages.insertBefore("kotlin","keyword",{annotation:{pattern:/\B@(?:\w+:)?(?:[A-Z]\w*|\[[^\]]+\])/,alias:"builtin"}}),e.languages.insertBefore("kotlin","function",{label:{pattern:/\b\w+@|@\w+\b/,alias:"symbol"}}),e.languages.kt=e.languages.kotlin,e.languages.kts=e.languages.kotlin}(C),C.languages.c=C.languages.extend("clike",{comment:{pattern:/\/\/(?:[^\r\n\\]|\\(?:\r\n?|\n|(?![\r\n])))*|\/\*[\s\S]*?(?:\*\/|$)/,greedy:!0},string:{pattern:/"(?:\\(?:\r\n|[\s\S])|[^"\\\r\n])*"/,greedy:!0},"class-name":{pattern:/(\b(?:enum|struct)\s+(?:__attribute__\s*\(\([\s\S]*?\)\)\s*)?)\w+|\b[a-z]\w*_t\b/,lookbehind:!0},keyword:/\b(?:_Alignas|_Alignof|_Atomic|_Bool|_Complex|_Generic|_Imaginary|_Noreturn|_Static_assert|_Thread_local|__attribute__|asm|auto|break|case|char|const|continue|default|do|double|else|enum|extern|float|for|goto|if|inline|int|long|register|return|short|signed|sizeof|static|struct|switch|typedef|typeof|union|unsigned|void|volatile|while)\b/,function:/\b[a-z_]\w*(?=\s*\()/i,number:/(?:\b0x(?:[\da-f]+(?:\.[\da-f]*)?|\.[\da-f]+)(?:p[+-]?\d+)?|(?:\b\d+(?:\.\d*)?|\B\.\d+)(?:e[+-]?\d+)?)[ful]{0,4}/i,operator:/>>=?|<<=?|->|([-+&|:])\1|[?:~]|[-+*/%&|^!=<>]=?/}),C.languages.insertBefore("c","string",{char:{pattern:/'(?:\\(?:\r\n|[\s\S])|[^'\\\r\n]){0,32}'/,greedy:!0}}),C.languages.insertBefore("c","string",{macro:{pattern:/(^[\t 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C.languages.c.boolean,C.languages.objectivec=C.languages.extend("c",{string:{pattern:/@?"(?:\\(?:\r\n|[\s\S])|[^"\\\r\n])*"/,greedy:!0},keyword:/\b(?:asm|auto|break|case|char|const|continue|default|do|double|else|enum|extern|float|for|goto|if|in|inline|int|long|register|return|self|short|signed|sizeof|static|struct|super|switch|typedef|typeof|union|unsigned|void|volatile|while)\b|(?:@interface|@end|@implementation|@protocol|@class|@public|@protected|@private|@property|@try|@catch|@finally|@throw|@synthesize|@dynamic|@selector)\b/,operator:/-[->]?|\+\+?|!=?|<>?=?|==?|&&?|\|\|?|[~^%?*\/@]/}),delete C.languages.objectivec["class-name"],C.languages.objc=C.languages.objectivec,C.languages.reason=C.languages.extend("clike",{string:{pattern:/"(?:\\(?:\r\n|[\s\S])|[^\\\r\n"])*"/,greedy:!0},"class-name":/\b[A-Z]\w*/,keyword:/\b(?:and|as|assert|begin|class|constraint|do|done|downto|else|end|exception|external|for|fun|function|functor|if|in|include|inherit|initializer|lazy|let|method|module|mutable|new|nonrec|object|of|open|or|private|rec|sig|struct|switch|then|to|try|type|val|virtual|when|while|with)\b/,operator:/\.{3}|:[:=]|\|>|->|=(?:==?|>)?|<=?|>=?|[|^?'#!~`]|[+\-*\/]\.?|\b(?:asr|land|lor|lsl|lsr|lxor|mod)\b/}),C.languages.insertBefore("reason","class-name",{char:{pattern:/'(?:\\x[\da-f]{2}|\\o[0-3][0-7][0-7]|\\\d{3}|\\.|[^'\\\r\n])'/,greedy:!0},constructor:/\b[A-Z]\w*\b(?!\s*\.)/,label:{pattern:/\b[a-z]\w*(?=::)/,alias:"symbol"}}),delete C.languages.reason.function,function(e){for(var t=/\/\*(?:[^*/]|\*(?!\/)|\/(?!\*)|)*\*\//.source,n=0;n<2;n++)t=t.replace(//g,(function(){return t}));t=t.replace(//g,(function(){return/[^\s\S]/.source})),e.languages.rust={comment:[{pattern:RegExp(/(^|[^\\])/.source+t),lookbehind:!0,greedy:!0},{pattern:/(^|[^\\:])\/\/.*/,lookbehind:!0,greedy:!0}],string:{pattern:/b?"(?:\\[\s\S]|[^\\"])*"|b?r(#*)"(?:[^"]|"(?!\1))*"\1/,greedy:!0},char:{pattern:/b?'(?:\\(?:x[0-7][\da-fA-F]|u\{(?:[\da-fA-F]_*){1,6}\}|.)|[^\\\r\n\t'])'/,greedy:!0},attribute:{pattern:/#!?\[(?:[^\[\]"]|"(?:\\[\s\S]|[^\\"])*")*\]/,greedy:!0,alias:"attr-name",inside:{string:null}},"closure-params":{pattern:/([=(,:]\s*|\bmove\s*)\|[^|]*\||\|[^|]*\|(?=\s*(?:\{|->))/,lookbehind:!0,greedy:!0,inside:{"closure-punctuation":{pattern:/^\||\|$/,alias:"punctuation"},rest:null}},"lifetime-annotation":{pattern:/'\w+/,alias:"symbol"},"fragment-specifier":{pattern:/(\$\w+:)[a-z]+/,lookbehind:!0,alias:"punctuation"},variable:/\$\w+/,"function-definition":{pattern:/(\bfn\s+)\w+/,lookbehind:!0,alias:"function"},"type-definition":{pattern:/(\b(?:enum|struct|trait|type|union)\s+)\w+/,lookbehind:!0,alias:"class-name"},"module-declaration":[{pattern:/(\b(?:crate|mod)\s+)[a-z][a-z_\d]*/,lookbehind:!0,alias:"namespace"},{pattern:/(\b(?:crate|self|super)\s*)::\s*[a-z][a-z_\d]*\b(?:\s*::(?:\s*[a-z][a-z_\d]*\s*::)*)?/,lookbehind:!0,alias:"namespace",inside:{punctuation:/::/}}],keyword:[/\b(?:Self|abstract|as|async|await|become|box|break|const|continue|crate|do|dyn|else|enum|extern|final|fn|for|if|impl|in|let|loop|macro|match|mod|move|mut|override|priv|pub|ref|return|self|static|struct|super|trait|try|type|typeof|union|unsafe|unsized|use|virtual|where|while|yield)\b/,/\b(?:bool|char|f(?:32|64)|[ui](?:8|16|32|64|128|size)|str)\b/],function:/\b[a-z_]\w*(?=\s*(?:::\s*<|\())/,macro:{pattern:/\b\w+!/,alias:"property"},constant:/\b[A-Z_][A-Z_\d]+\b/,"class-name":/\b[A-Z]\w*\b/,namespace:{pattern:/(?:\b[a-z][a-z_\d]*\s*::\s*)*\b[a-z][a-z_\d]*\s*::(?!\s*<)/,inside:{punctuation:/::/}},number:/\b(?:0x[\dA-Fa-f](?:_?[\dA-Fa-f])*|0o[0-7](?:_?[0-7])*|0b[01](?:_?[01])*|(?:(?:\d(?:_?\d)*)?\.)?\d(?:_?\d)*(?:[Ee][+-]?\d+)?)(?:_?(?:f32|f64|[iu](?:8|16|32|64|size)?))?\b/,boolean:/\b(?:false|true)\b/,punctuation:/->|\.\.=|\.{1,3}|::|[{}[\];(),:]/,operator:/[-+*\/%!^]=?|=[=>]?|&[&=]?|\|[|=]?|<>?=?|[@?]/},e.languages.rust["closure-params"].inside.rest=e.languages.rust,e.languages.rust.attribute.inside.string=e.languages.rust.string}(C),C.languages.go=C.languages.extend("clike",{string:{pattern:/(^|[^\\])"(?:\\.|[^"\\\r\n])*"|`[^`]*`/,lookbehind:!0,greedy:!0},keyword:/\b(?:break|case|chan|const|continue|default|defer|else|fallthrough|for|func|go(?:to)?|if|import|interface|map|package|range|return|select|struct|switch|type|var)\b/,boolean:/\b(?:_|false|iota|nil|true)\b/,number:[/\b0(?:b[01_]+|o[0-7_]+)i?\b/i,/\b0x(?:[a-f\d_]+(?:\.[a-f\d_]*)?|\.[a-f\d_]+)(?:p[+-]?\d+(?:_\d+)*)?i?(?!\w)/i,/(?:\b\d[\d_]*(?:\.[\d_]*)?|\B\.\d[\d_]*)(?:e[+-]?[\d_]+)?i?(?!\w)/i],operator:/[*\/%^!=]=?|\+[=+]?|-[=-]?|\|[=|]?|&(?:=|&|\^=?)?|>(?:>=?|=)?|<(?:<=?|=|-)?|:=|\.\.\./,builtin:/\b(?:append|bool|byte|cap|close|complex|complex(?:64|128)|copy|delete|error|float(?:32|64)|u?int(?:8|16|32|64)?|imag|len|make|new|panic|print(?:ln)?|real|recover|rune|string|uintptr)\b/}),C.languages.insertBefore("go","string",{char:{pattern:/'(?:\\.|[^'\\\r\n]){0,10}'/,greedy:!0}}),delete C.languages.go["class-name"],function(e){var t=/\b(?:alignas|alignof|asm|auto|bool|break|case|catch|char|char16_t|char32_t|char8_t|class|co_await|co_return|co_yield|compl|concept|const|const_cast|consteval|constexpr|constinit|continue|decltype|default|delete|do|double|dynamic_cast|else|enum|explicit|export|extern|final|float|for|friend|goto|if|import|inline|int|int16_t|int32_t|int64_t|int8_t|long|module|mutable|namespace|new|noexcept|nullptr|operator|override|private|protected|public|register|reinterpret_cast|requires|return|short|signed|sizeof|static|static_assert|static_cast|struct|switch|template|this|thread_local|throw|try|typedef|typeid|typename|uint16_t|uint32_t|uint64_t|uint8_t|union|unsigned|using|virtual|void|volatile|wchar_t|while)\b/,n=/\b(?!)\w+(?:\s*\.\s*\w+)*\b/.source.replace(//g,(function(){return t.source}));e.languages.cpp=e.languages.extend("c",{"class-name":[{pattern:RegExp(/(\b(?:class|concept|enum|struct|typename)\s+)(?!)\w+/.source.replace(//g,(function(){return t.source}))),lookbehind:!0},/\b[A-Z]\w*(?=\s*::\s*\w+\s*\()/,/\b[A-Z_]\w*(?=\s*::\s*~\w+\s*\()/i,/\b\w+(?=\s*<(?:[^<>]|<(?:[^<>]|<[^<>]*>)*>)*>\s*::\s*\w+\s*\()/],keyword:t,number:{pattern:/(?:\b0b[01']+|\b0x(?:[\da-f']+(?:\.[\da-f']*)?|\.[\da-f']+)(?:p[+-]?[\d']+)?|(?:\b[\d']+(?:\.[\d']*)?|\B\.[\d']+)(?:e[+-]?[\d']+)?)[ful]{0,4}/i,greedy:!0},operator:/>>=?|<<=?|->|--|\+\+|&&|\|\||[?:~]|<=>|[-+*/%&|^!=<>]=?|\b(?:and|and_eq|bitand|bitor|not|not_eq|or|or_eq|xor|xor_eq)\b/,boolean:/\b(?:false|true)\b/}),e.languages.insertBefore("cpp","string",{module:{pattern:RegExp(/(\b(?:import|module)\s+)/.source+"(?:"+/"(?:\\(?:\r\n|[\s\S])|[^"\\\r\n])*"|<[^<>\r\n]*>/.source+"|"+/(?:\s*:\s*)?|:\s*/.source.replace(//g,(function(){return n}))+")"),lookbehind:!0,greedy:!0,inside:{string:/^[<"][\s\S]+/,operator:/:/,punctuation:/\./}},"raw-string":{pattern:/R"([^()\\ 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e={5354:0,1869:0};r.f.j=(a,f)=>{var c=r.o(e,a)?e[a]:void 0;if(0!==c)if(c)f.push(c[2]);else if(/^(1869|5354)$/.test(a))e[a]=0;else{var d=new Promise(((f,d)=>c=e[a]=[f,d]));f.push(c[2]=d);var b=r.p+r.u(a),t=new Error;r.l(b,(f=>{if(r.o(e,a)&&(0!==(c=e[a])&&(e[a]=void 0),c)){var d=f&&("load"===f.type?"missing":f.type),b=f&&f.target&&f.target.src;t.message="Loading chunk "+a+" failed.\n("+d+": "+b+")",t.name="ChunkLoadError",t.type=d,t.request=b,c[1](t)}}),"chunk-"+a,a)}},r.O.j=a=>0===e[a];var a=(a,f)=>{var c,d,b=f[0],t=f[1],o=f[2],n=0;if(b.some((a=>0!==e[a]))){for(c in t)r.o(t,c)&&(r.m[c]=t[c]);if(o)var i=o(r)}for(a&&a(f);n - - + +

Day 21 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I study about about Machine Learning, specifically about the K-Means Clustering Algorithm, you can see my notes here, and the code here.

diff --git a/blog/archive.html b/blog/archive.html index d612348b..3b3b583d 100644 --- a/blog/archive.html +++ b/blog/archive.html @@ -9,8 +9,8 @@ - - + +

Archive

Archive

2023​

diff --git a/blog/day-1-100-days-of-code.html b/blog/day-1-100-days-of-code.html index 1cd21a9d..55bf3140 100644 --- a/blog/day-1-100-days-of-code.html +++ b/blog/day-1-100-days-of-code.html @@ -9,8 +9,8 @@ - - + +

Day 1 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I started studying Go by doing the exercises in the repository of @wagslane fcc-learn-golang-assets.

diff --git a/blog/day-10-100-days-of-code.html b/blog/day-10-100-days-of-code.html index dbdad9bf..af01fe09 100644 --- a/blog/day-10-100-days-of-code.html +++ b/blog/day-10-100-days-of-code.html @@ -9,8 +9,8 @@ - - + +

Day 10 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I studied about the Object Relational Database using Oracle DB to a exam that I have tomorrow.

diff --git a/blog/day-11-100-days-of-code.html b/blog/day-11-100-days-of-code.html index c4cd8c2b..ee230edc 100644 --- a/blog/day-11-100-days-of-code.html +++ b/blog/day-11-100-days-of-code.html @@ -9,8 +9,8 @@ - - + +

Day 11 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I continue to study about the Object Relational Database using Oracle DB to a exam that I had at afternoon.

diff --git a/blog/day-12-100-days-of-code.html b/blog/day-12-100-days-of-code.html index 84027486..9eb41b73 100644 --- a/blog/day-12-100-days-of-code.html +++ b/blog/day-12-100-days-of-code.html @@ -9,8 +9,8 @@ - - + +

Day 12 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I start to integrate Supabase to my project using the expo, I also learn about the new expo router and how to use it.

diff --git a/blog/day-13-100-days-of-code.html b/blog/day-13-100-days-of-code.html index 512eaf81..2a1c2b56 100644 --- a/blog/day-13-100-days-of-code.html +++ b/blog/day-13-100-days-of-code.html @@ -9,8 +9,8 @@ - - + +

Day 13 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I continue to implements the Supabase to my project, I also learn about the new expo router and how to use it.

diff --git a/blog/day-14-100-days-of-code.html b/blog/day-14-100-days-of-code.html index fee71129..e581b458 100644 --- a/blog/day-14-100-days-of-code.html +++ b/blog/day-14-100-days-of-code.html @@ -9,8 +9,8 @@ - - + +

Day 14 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I start to solve a colab notebook from college. In this notebook, I use the pandas library to read a csv file and do some data analysis. The dataset that I used was this. The focus of this notebook was to use the plotly library to create some graphs.

diff --git a/blog/day-15-100-days-of-code.html b/blog/day-15-100-days-of-code.html index 5c6a7aa1..551e9316 100644 --- a/blog/day-15-100-days-of-code.html +++ b/blog/day-15-100-days-of-code.html @@ -9,8 +9,8 @@ - - + +

Day 15 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I start to build a prof of concept to test some concepts like Idempotency, Batch Processing, Circuit Breaker, background jobs, and message queues. I build this project relearn how to configure node with typescript and build the project with Dockerfile and run a infra local with docker-compose. Here you can see the source code. Alongside I start to learn more about IPC (Inter-Process Communication).

diff --git a/blog/day-16-100-days-of-code.html b/blog/day-16-100-days-of-code.html index a5f4508e..6e56cbdc 100644 --- a/blog/day-16-100-days-of-code.html +++ b/blog/day-16-100-days-of-code.html @@ -9,8 +9,8 @@ - - + +

Day 16 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today at work I had to start to study a legacy code that I will work with new features soon, to make my life more easy I start doing some this:

diff --git a/blog/day-17-100-days-of-code.html b/blog/day-17-100-days-of-code.html index a68cdfd0..a4360919 100644 --- a/blog/day-17-100-days-of-code.html +++ b/blog/day-17-100-days-of-code.html @@ -9,8 +9,8 @@ - - + +

Day 17 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I continue to implement a project to college using expo, expo router, zustand e supabase. I'm using this project to learn more about this technologies and to test some concepts. I will start to write some test cause I want to learn more about testing in react native.

diff --git a/blog/day-18-100-days-of-code.html b/blog/day-18-100-days-of-code.html index 0d9148c7..28b9caeb 100644 --- a/blog/day-18-100-days-of-code.html +++ b/blog/day-18-100-days-of-code.html @@ -9,8 +9,8 @@ - - + +

Day 18 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I refactor some screen of the app that I'm building to study some concepts, I'm using expo, expo router, zustand e supabase. I'm using this project to learn more about this technologies and to test some concepts. I will start to write some test cause I want to learn more about testing in react native.

diff --git a/blog/day-19-100-days-of-code.html b/blog/day-19-100-days-of-code.html index 48e7761a..aa1f526b 100644 --- a/blog/day-19-100-days-of-code.html +++ b/blog/day-19-100-days-of-code.html @@ -9,8 +9,8 @@ - - + +

Day 19 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

So today is my birthday, so I work on something special, today with my friends I build a minecraft modpack and buy a host to upload a minecraft server, so I spend all day building the server and configuring the mods.

diff --git a/blog/day-2-100-days-of-code.html b/blog/day-2-100-days-of-code.html index 6018c618..71a90c2d 100644 --- a/blog/day-2-100-days-of-code.html +++ b/blog/day-2-100-days-of-code.html @@ -9,8 +9,8 @@ - - + +

Day 2 of 100 Days of Code

· 2 min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today was a really full day of work, I have been working to finish a project that I have been working on for a while from the company that I work for, so I didn't have much time to code, but I managed to do some things.

diff --git a/blog/day-20-100-days-of-code.html b/blog/day-20-100-days-of-code.html index c98066eb..f0b0d231 100644 --- a/blog/day-20-100-days-of-code.html +++ b/blog/day-20-100-days-of-code.html @@ -9,8 +9,8 @@ - - + +

Day 20 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today was my rest day and I only study a little about some algorithms that I learn on college.

diff --git a/blog/day-21-100-days-of-code.html b/blog/day-21-100-days-of-code.html index 3172e532..c6d35028 100644 --- a/blog/day-21-100-days-of-code.html +++ b/blog/day-21-100-days-of-code.html @@ -9,8 +9,8 @@ - - + +

Day 21 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I study about about Machine Learning, specifically about the K-Means Clustering Algorithm, you can see my notes here, and the code here.

diff --git a/blog/day-22-100-days-of-code.html b/blog/day-22-100-days-of-code.html index e850e3ba..74cdc741 100644 --- a/blog/day-22-100-days-of-code.html +++ b/blog/day-22-100-days-of-code.html @@ -9,8 +9,8 @@ - - + +

Day 22 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I study about the Silhouette Analysis, this is based on generate a metric to validate the correctness of a clustering algorithm. You can see my notes here.

diff --git a/blog/day-3-100-days-of-code.html b/blog/day-3-100-days-of-code.html index 965293c9..ba69349c 100644 --- a/blog/day-3-100-days-of-code.html +++ b/blog/day-3-100-days-of-code.html @@ -9,8 +9,8 @@ - - + +

Day 3 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I finished the second lab for my Data Science class, I used Pandas and Seaborn library to plot some histograms and boxplots, maybe I would write a post about it soon. You can check the notebook here.

diff --git a/blog/day-4-100-days-of-code.html b/blog/day-4-100-days-of-code.html index f2bc369c..0866e691 100644 --- a/blog/day-4-100-days-of-code.html +++ b/blog/day-4-100-days-of-code.html @@ -9,8 +9,8 @@ - - + +

Day 4 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I was very busy with work and college, but I managed to study, so I see this topics today:

diff --git a/blog/day-5-100-days-of-code.html b/blog/day-5-100-days-of-code.html index 0b04ead9..7aa45092 100644 --- a/blog/day-5-100-days-of-code.html +++ b/blog/day-5-100-days-of-code.html @@ -9,8 +9,8 @@ - - + +

Day 5 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today was nice, I study lot of things and at the end of the day I release a game!

diff --git a/blog/day-6-100-days-of-code.html b/blog/day-6-100-days-of-code.html index affb9503..3c82e8a1 100644 --- a/blog/day-6-100-days-of-code.html +++ b/blog/day-6-100-days-of-code.html @@ -9,8 +9,8 @@ - - + +

Day 6 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today was a slow day for me, I can't concentrate to study, but I do some things.

diff --git a/blog/day-7-100-days-of-code.html b/blog/day-7-100-days-of-code.html index 9e88c8b2..17650684 100644 --- a/blog/day-7-100-days-of-code.html +++ b/blog/day-7-100-days-of-code.html @@ -9,8 +9,8 @@ - - + +

Day 7 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today was a day to rest, but I study a little bit of ODB. I did some exercicies that my professor gave me. You can see here

diff --git a/blog/day-8-100-days-of-code.html b/blog/day-8-100-days-of-code.html index 56ef5ea0..dda7997f 100644 --- a/blog/day-8-100-days-of-code.html +++ b/blog/day-8-100-days-of-code.html @@ -9,8 +9,8 @@ - - + +

Day 8 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I had a Data Science class and I learned about correlation.You can see my notes here, they are incomplete but at the end of this week I will complete them whem reviewing the content to work on a dataset that I had to finish until thursday.

diff --git a/blog/day-9-100-days-of-code.html b/blog/day-9-100-days-of-code.html index 58a57f18..d45930bd 100644 --- a/blog/day-9-100-days-of-code.html +++ b/blog/day-9-100-days-of-code.html @@ -9,8 +9,8 @@ - - + +

Day 9 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today was a hard, I had to update the typescript of a old project so I had to study about the typescript module resolution and the tsconfig.json file.

diff --git a/blog/how-to-code-everyday.html b/blog/how-to-code-everyday.html index c3031138..94caa612 100644 --- a/blog/how-to-code-everyday.html +++ b/blog/how-to-code-everyday.html @@ -9,8 +9,8 @@ - - + +

How to Code Everyday

· 2 min read
Paulo Hernane
Paulo Hernane
Software Engineer

Code is a skill that you need to practice every day. But some days we don't are in the mood to code, but we fell anxious about it. So, I will share with you some tips that I use to code every day.

diff --git a/blog/page/2.html b/blog/page/2.html index c02668db..0fe91389 100644 --- a/blog/page/2.html +++ b/blog/page/2.html @@ -9,8 +9,8 @@ - - + +

Day 12 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I start to integrate Supabase to my project using the expo, I also learn about the new expo router and how to use it.

diff --git a/blog/page/3.html b/blog/page/3.html index 86274a95..931e8c58 100644 --- a/blog/page/3.html +++ b/blog/page/3.html @@ -9,8 +9,8 @@ - - + +

Day 2 of 100 Days of Code

· 2 min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today was a really full day of work, I have been working to finish a project that I have been working on for a while from the company that I work for, so I didn't have much time to code, but I managed to do some things.

diff --git a/blog/tags.html b/blog/tags.html index 1fcbe185..c809e4e4 100644 --- a/blog/tags.html +++ b/blog/tags.html @@ -9,8 +9,8 @@ - - + +

Tags

diff --git a/blog/tags/100-days-of-code.html b/blog/tags/100-days-of-code.html index 30866618..82e2d671 100644 --- a/blog/tags/100-days-of-code.html +++ b/blog/tags/100-days-of-code.html @@ -9,8 +9,8 @@ - - + +

22 posts tagged with "100DaysOfCode"

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Day 21 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I study about about Machine Learning, specifically about the K-Means Clustering Algorithm, you can see my notes here, and the code here.

diff --git a/blog/tags/100-days-of-code/page/2.html b/blog/tags/100-days-of-code/page/2.html index 5dc68bd0..adf5df08 100644 --- a/blog/tags/100-days-of-code/page/2.html +++ b/blog/tags/100-days-of-code/page/2.html @@ -9,8 +9,8 @@ - - + +

22 posts tagged with "100DaysOfCode"

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Day 12 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I start to integrate Supabase to my project using the expo, I also learn about the new expo router and how to use it.

diff --git a/blog/tags/100-days-of-code/page/3.html b/blog/tags/100-days-of-code/page/3.html index 056abdbc..e2b97fb7 100644 --- a/blog/tags/100-days-of-code/page/3.html +++ b/blog/tags/100-days-of-code/page/3.html @@ -9,8 +9,8 @@ - - + +

22 posts tagged with "100DaysOfCode"

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Day 2 of 100 Days of Code

· 2 min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today was a really full day of work, I have been working to finish a project that I have been working on for a while from the company that I work for, so I didn't have much time to code, but I managed to do some things.

diff --git a/blog/tags/code.html b/blog/tags/code.html index 2f6f2689..5446f2b2 100644 --- a/blog/tags/code.html +++ b/blog/tags/code.html @@ -9,8 +9,8 @@ - - + +

One post tagged with "code"

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How to Code Everyday

· 2 min read
Paulo Hernane
Paulo Hernane
Software Engineer

Code is a skill that you need to practice every day. But some days we don't are in the mood to code, but we fell anxious about it. So, I will share with you some tips that I use to code every day.

diff --git a/blog/tags/concurrency.html b/blog/tags/concurrency.html index 9fa8d6bc..5bf3a557 100644 --- a/blog/tags/concurrency.html +++ b/blog/tags/concurrency.html @@ -9,8 +9,8 @@ - - + +

One post tagged with "Concurrency"

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Day 6 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today was a slow day for me, I can't concentrate to study, but I do some things.

diff --git a/blog/tags/concurrent-programming.html b/blog/tags/concurrent-programming.html index b93504fc..9ded9f3b 100644 --- a/blog/tags/concurrent-programming.html +++ b/blog/tags/concurrent-programming.html @@ -9,8 +9,8 @@ - - + +

2 posts tagged with "Concurrent Programming"

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Day 6 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today was a slow day for me, I can't concentrate to study, but I do some things.

diff --git a/blog/tags/data-science.html b/blog/tags/data-science.html index 3ad08772..d36d53e1 100644 --- a/blog/tags/data-science.html +++ b/blog/tags/data-science.html @@ -9,8 +9,8 @@ - - + +

4 posts tagged with "DataScience"

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Day 8 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I had a Data Science class and I learned about correlation.You can see my notes here, they are incomplete but at the end of this week I will complete them whem reviewing the content to work on a dataset that I had to finish until thursday.

diff --git a/blog/tags/data-structures.html b/blog/tags/data-structures.html index 9ec8b8ef..5dbb7c8c 100644 --- a/blog/tags/data-structures.html +++ b/blog/tags/data-structures.html @@ -9,8 +9,8 @@ - - + +

One post tagged with "Data Structures"

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Day 2 of 100 Days of Code

· 2 min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today was a really full day of work, I have been working to finish a project that I have been working on for a while from the company that I work for, so I didn't have much time to code, but I managed to do some things.

diff --git a/blog/tags/database.html b/blog/tags/database.html index 65dbddf7..367dc2ec 100644 --- a/blog/tags/database.html +++ b/blog/tags/database.html @@ -9,8 +9,8 @@ - - + +

One post tagged with "Database"

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Day 7 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today was a day to rest, but I study a little bit of ODB. I did some exercicies that my professor gave me. You can see here

diff --git a/blog/tags/db.html b/blog/tags/db.html index 59702224..b8492a31 100644 --- a/blog/tags/db.html +++ b/blog/tags/db.html @@ -9,8 +9,8 @@ - - + +

2 posts tagged with "DB"

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Day 11 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I continue to study about the Object Relational Database using Oracle DB to a exam that I had at afternoon.

diff --git a/blog/tags/distributed-systems.html b/blog/tags/distributed-systems.html index 771a128e..80f08e2a 100644 --- a/blog/tags/distributed-systems.html +++ b/blog/tags/distributed-systems.html @@ -9,8 +9,8 @@ - - + +

2 posts tagged with "Distributed Systems"

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Day 9 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today was a hard, I had to update the typescript of a old project so I had to study about the typescript module resolution and the tsconfig.json file.

diff --git a/blog/tags/english.html b/blog/tags/english.html index f83fe6c3..80270590 100644 --- a/blog/tags/english.html +++ b/blog/tags/english.html @@ -9,8 +9,8 @@ - - + +

6 posts tagged with "English"

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Day 7 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today was a day to rest, but I study a little bit of ODB. I did some exercicies that my professor gave me. You can see here

diff --git a/blog/tags/es-lint.html b/blog/tags/es-lint.html index 17f9e53e..ed05b828 100644 --- a/blog/tags/es-lint.html +++ b/blog/tags/es-lint.html @@ -9,8 +9,8 @@ - - + +

One post tagged with "ESLint"

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Day 4 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I was very busy with work and college, but I managed to study, so I see this topics today:

diff --git a/blog/tags/expo.html b/blog/tags/expo.html index ada6e467..49344147 100644 --- a/blog/tags/expo.html +++ b/blog/tags/expo.html @@ -9,8 +9,8 @@ - - + +

One post tagged with "Expo"

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Day 11 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I continue to study about the Object Relational Database using Oracle DB to a exam that I had at afternoon.

diff --git a/blog/tags/functions.html b/blog/tags/functions.html index 7746107a..0fb71a78 100644 --- a/blog/tags/functions.html +++ b/blog/tags/functions.html @@ -9,8 +9,8 @@ - - + +

2 posts tagged with "Functions"

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Day 11 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I continue to study about the Object Relational Database using Oracle DB to a exam that I had at afternoon.

diff --git a/blog/tags/go.html b/blog/tags/go.html index 9a9663ac..c1ca90e4 100644 --- a/blog/tags/go.html +++ b/blog/tags/go.html @@ -9,8 +9,8 @@ - - + +

2 posts tagged with "go"

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Day 6 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today was a slow day for me, I can't concentrate to study, but I do some things.

diff --git a/blog/tags/godot.html b/blog/tags/godot.html index bbbb730f..57eeb2d0 100644 --- a/blog/tags/godot.html +++ b/blog/tags/godot.html @@ -9,8 +9,8 @@ - - + +

One post tagged with "Godot"

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Day 5 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today was nice, I study lot of things and at the end of the day I release a game!

diff --git a/blog/tags/methods.html b/blog/tags/methods.html index 174affef..f87de2bd 100644 --- a/blog/tags/methods.html +++ b/blog/tags/methods.html @@ -9,8 +9,8 @@ - - + +

2 posts tagged with "Methods"

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Day 11 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I continue to study about the Object Relational Database using Oracle DB to a exam that I had at afternoon.

diff --git a/blog/tags/nested-tables.html b/blog/tags/nested-tables.html index b6a3a517..2520eb84 100644 --- a/blog/tags/nested-tables.html +++ b/blog/tags/nested-tables.html @@ -9,8 +9,8 @@ - - + +

2 posts tagged with "Nested Tables"

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Day 11 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I continue to study about the Object Relational Database using Oracle DB to a exam that I had at afternoon.

diff --git a/blog/tags/next-js.html b/blog/tags/next-js.html index b53165d5..4b67d22a 100644 --- a/blog/tags/next-js.html +++ b/blog/tags/next-js.html @@ -9,8 +9,8 @@ - - + +

One post tagged with "Next.js"

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Day 2 of 100 Days of Code

· 2 min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today was a really full day of work, I have been working to finish a project that I have been working on for a while from the company that I work for, so I didn't have much time to code, but I managed to do some things.

diff --git a/blog/tags/node-js.html b/blog/tags/node-js.html index b6381aa6..bf942f3c 100644 --- a/blog/tags/node-js.html +++ b/blog/tags/node-js.html @@ -9,8 +9,8 @@ - - + +

One post tagged with "NodeJS"

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Day 4 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I was very busy with work and college, but I managed to study, so I see this topics today:

diff --git a/blog/tags/object-relational-database.html b/blog/tags/object-relational-database.html index aa736ee2..aa94cfb6 100644 --- a/blog/tags/object-relational-database.html +++ b/blog/tags/object-relational-database.html @@ -9,8 +9,8 @@ - - + +

2 posts tagged with "Object Relational Database"

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Day 11 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I continue to study about the Object Relational Database using Oracle DB to a exam that I had at afternoon.

diff --git a/blog/tags/object-tables.html b/blog/tags/object-tables.html index bfcd8f99..f0e8cf92 100644 --- a/blog/tags/object-tables.html +++ b/blog/tags/object-tables.html @@ -9,8 +9,8 @@ - - + +

2 posts tagged with "Object Tables"

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Day 11 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I continue to study about the Object Relational Database using Oracle DB to a exam that I had at afternoon.

diff --git a/blog/tags/object-types.html b/blog/tags/object-types.html index 0e30d512..f532635c 100644 --- a/blog/tags/object-types.html +++ b/blog/tags/object-types.html @@ -9,8 +9,8 @@ - - + +

2 posts tagged with "Object Types"

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Day 11 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I continue to study about the Object Relational Database using Oracle DB to a exam that I had at afternoon.

diff --git a/blog/tags/odb.html b/blog/tags/odb.html index f786e53b..15efe11f 100644 --- a/blog/tags/odb.html +++ b/blog/tags/odb.html @@ -9,8 +9,8 @@ - - + +

3 posts tagged with "ODB"

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Day 11 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I continue to study about the Object Relational Database using Oracle DB to a exam that I had at afternoon.

diff --git a/blog/tags/oracle.html b/blog/tags/oracle.html index de4209dc..8775e3a0 100644 --- a/blog/tags/oracle.html +++ b/blog/tags/oracle.html @@ -9,8 +9,8 @@ - - + +

3 posts tagged with "Oracle"

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Day 11 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I continue to study about the Object Relational Database using Oracle DB to a exam that I had at afternoon.

diff --git a/blog/tags/ord.html b/blog/tags/ord.html index 39e5af87..b0c86b66 100644 --- a/blog/tags/ord.html +++ b/blog/tags/ord.html @@ -9,8 +9,8 @@ - - + +

One post tagged with "ORD"

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Day 5 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today was nice, I study lot of things and at the end of the day I release a game!

diff --git a/blog/tags/pandas.html b/blog/tags/pandas.html index 98765437..14ccf2b6 100644 --- a/blog/tags/pandas.html +++ b/blog/tags/pandas.html @@ -9,8 +9,8 @@ - - + +

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Day 3 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I finished the second lab for my Data Science class, I used Pandas and Seaborn library to plot some histograms and boxplots, maybe I would write a post about it soon. You can check the notebook here.

diff --git a/blog/tags/parallelism.html b/blog/tags/parallelism.html index 573b731a..ef5d05b8 100644 --- a/blog/tags/parallelism.html +++ b/blog/tags/parallelism.html @@ -9,8 +9,8 @@ - - + +

One post tagged with "Parallelism"

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Day 6 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today was a slow day for me, I can't concentrate to study, but I do some things.

diff --git a/blog/tags/prettier.html b/blog/tags/prettier.html index c3d13f4e..2f1c62ef 100644 --- a/blog/tags/prettier.html +++ b/blog/tags/prettier.html @@ -9,8 +9,8 @@ - - + +

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Day 4 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I was very busy with work and college, but I managed to study, so I see this topics today:

diff --git a/blog/tags/procedures.html b/blog/tags/procedures.html index c54f920d..ac96dc72 100644 --- a/blog/tags/procedures.html +++ b/blog/tags/procedures.html @@ -9,8 +9,8 @@ - - + +

2 posts tagged with "Procedures"

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Day 11 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I continue to study about the Object Relational Database using Oracle DB to a exam that I had at afternoon.

diff --git a/blog/tags/process.html b/blog/tags/process.html index 1c0b37a6..7bde67cb 100644 --- a/blog/tags/process.html +++ b/blog/tags/process.html @@ -9,8 +9,8 @@ - - + +

One post tagged with "Process"

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Day 6 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today was a slow day for me, I can't concentrate to study, but I do some things.

diff --git a/blog/tags/programming.html b/blog/tags/programming.html index dfe0f027..39bccdaf 100644 --- a/blog/tags/programming.html +++ b/blog/tags/programming.html @@ -9,8 +9,8 @@ - - + +

One post tagged with "programming"

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How to Code Everyday

· 2 min read
Paulo Hernane
Paulo Hernane
Software Engineer

Code is a skill that you need to practice every day. But some days we don't are in the mood to code, but we fell anxious about it. So, I will share with you some tips that I use to code every day.

diff --git a/blog/tags/python.html b/blog/tags/python.html index 6e016734..a45a1a34 100644 --- a/blog/tags/python.html +++ b/blog/tags/python.html @@ -9,8 +9,8 @@ - - + +

One post tagged with "Python"

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diff --git a/blog/tags/react-native.html b/blog/tags/react-native.html index 9a7891d6..fa9c60da 100644 --- a/blog/tags/react-native.html +++ b/blog/tags/react-native.html @@ -9,8 +9,8 @@ - - + +

One post tagged with "React Native"

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Day 11 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I continue to study about the Object Relational Database using Oracle DB to a exam that I had at afternoon.

diff --git a/blog/tags/react.html b/blog/tags/react.html index 4f33b8ad..f4527922 100644 --- a/blog/tags/react.html +++ b/blog/tags/react.html @@ -9,8 +9,8 @@ - - + +

One post tagged with "React"

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Day 2 of 100 Days of Code

· 2 min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today was a really full day of work, I have been working to finish a project that I have been working on for a while from the company that I work for, so I didn't have much time to code, but I managed to do some things.

diff --git a/blog/tags/routine.html b/blog/tags/routine.html index 021db07d..cd4b6052 100644 --- a/blog/tags/routine.html +++ b/blog/tags/routine.html @@ -9,8 +9,8 @@ - - + +

2 posts tagged with "Routine"

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Day 6 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today was a slow day for me, I can't concentrate to study, but I do some things.

diff --git a/blog/tags/seaborn.html b/blog/tags/seaborn.html index 1aa0cedb..ebed85e6 100644 --- a/blog/tags/seaborn.html +++ b/blog/tags/seaborn.html @@ -9,8 +9,8 @@ - - + +

One post tagged with "Seaborn"

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Day 3 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I finished the second lab for my Data Science class, I used Pandas and Seaborn library to plot some histograms and boxplots, maybe I would write a post about it soon. You can check the notebook here.

diff --git a/blog/tags/swc.html b/blog/tags/swc.html index 0cd09b15..c1e0eda9 100644 --- a/blog/tags/swc.html +++ b/blog/tags/swc.html @@ -9,8 +9,8 @@ - - + +

One post tagged with "SWC"

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Day 5 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today was nice, I study lot of things and at the end of the day I release a game!

diff --git a/blog/tags/synchronization-patterns.html b/blog/tags/synchronization-patterns.html index 96cec6fb..d2b0ac78 100644 --- a/blog/tags/synchronization-patterns.html +++ b/blog/tags/synchronization-patterns.html @@ -9,8 +9,8 @@ - - + +

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Day 1 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I started studying Go by doing the exercises in the repository of @wagslane fcc-learn-golang-assets.

diff --git a/blog/tags/thread.html b/blog/tags/thread.html index 810e6393..d0129c11 100644 --- a/blog/tags/thread.html +++ b/blog/tags/thread.html @@ -9,8 +9,8 @@ - - + +

One post tagged with "Thread"

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Day 6 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today was a slow day for me, I can't concentrate to study, but I do some things.

diff --git a/blog/tags/typescript.html b/blog/tags/typescript.html index 8949df20..80e78901 100644 --- a/blog/tags/typescript.html +++ b/blog/tags/typescript.html @@ -9,8 +9,8 @@ - - + +

2 posts tagged with "Typescript"

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Day 4 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I was very busy with work and college, but I managed to study, so I see this topics today:

diff --git a/blog/tags/v-array.html b/blog/tags/v-array.html index 393e4042..738091ff 100644 --- a/blog/tags/v-array.html +++ b/blog/tags/v-array.html @@ -9,8 +9,8 @@ - - + +

2 posts tagged with "VArray"

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Day 11 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I continue to study about the Object Relational Database using Oracle DB to a exam that I had at afternoon.

diff --git a/blog/tags/zod.html b/blog/tags/zod.html index 4718ec40..8790d6d9 100644 --- a/blog/tags/zod.html +++ b/blog/tags/zod.html @@ -9,8 +9,8 @@ - - + +

One post tagged with "zod"

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Day 4 of 100 Days of Code

· One min read
Paulo Hernane
Paulo Hernane
Software Engineer

Today I was very busy with work and college, but I managed to study, so I see this topics today:

diff --git a/index.html b/index.html index 03a45f8a..d640f2d9 100644 --- a/index.html +++ b/index.html @@ -9,8 +9,8 @@ - - + +
diff --git a/laliga/inimigos.html b/laliga/inimigos.html index dd226ca7..cda29490 100644 --- a/laliga/inimigos.html +++ b/laliga/inimigos.html @@ -9,8 +9,8 @@ - - + +

Inimigos dos LaLiga&Rachadores

diff --git a/my-brain/Inter-Process Communication.html b/my-brain/Inter-Process Communication.html index b579bb14..00273595 100644 --- a/my-brain/Inter-Process Communication.html +++ b/my-brain/Inter-Process Communication.html @@ -9,8 +9,8 @@ - - + +

Inter-Process Communication (IPC)

diff --git a/my-brain/concurrent-programming.html b/my-brain/concurrent-programming.html index a6c08694..d20535e2 100644 --- a/my-brain/concurrent-programming.html +++ b/my-brain/concurrent-programming.html @@ -9,8 +9,8 @@ - - + +

Concurrent Programming

diff --git a/my-brain/concurrent-programming/basic-synchronization-patterns.html b/my-brain/concurrent-programming/basic-synchronization-patterns.html index b959eaf1..9683aded 100644 --- a/my-brain/concurrent-programming/basic-synchronization-patterns.html +++ b/my-brain/concurrent-programming/basic-synchronization-patterns.html @@ -9,8 +9,8 @@ - - + +

Basic Synchronization Patterns

diff --git a/my-brain/concurrent-programming/classical-synchronization-problems.html b/my-brain/concurrent-programming/classical-synchronization-problems.html index 4fac9216..edeae151 100644 --- a/my-brain/concurrent-programming/classical-synchronization-problems.html +++ b/my-brain/concurrent-programming/classical-synchronization-problems.html @@ -9,8 +9,8 @@ - - + +

Classical Synchronization Problems

diff --git a/my-brain/concurrent-programming/concurrency-vs-parallelism.html b/my-brain/concurrent-programming/concurrency-vs-parallelism.html index 826ace94..f87732fe 100644 --- a/my-brain/concurrent-programming/concurrency-vs-parallelism.html +++ b/my-brain/concurrent-programming/concurrency-vs-parallelism.html @@ -9,8 +9,8 @@ - - + +

Concurrency vs Parallelism

diff --git a/my-brain/concurrent-programming/semaphore.html b/my-brain/concurrent-programming/semaphore.html index c30d1629..b949f6e8 100644 --- a/my-brain/concurrent-programming/semaphore.html +++ b/my-brain/concurrent-programming/semaphore.html @@ -9,8 +9,8 @@ - - + +

Semaphore

diff --git a/my-brain/concurrent-programming/some-algorithms.html b/my-brain/concurrent-programming/some-algorithms.html index 65ac8833..1b08a2a9 100644 --- a/my-brain/concurrent-programming/some-algorithms.html +++ b/my-brain/concurrent-programming/some-algorithms.html @@ -9,8 +9,8 @@ - - + +

Mutual Exclusion Algorithms

diff --git a/my-brain/concurrent-programming/threads-and-process-in-python.html b/my-brain/concurrent-programming/threads-and-process-in-python.html index d077a209..90879c16 100644 --- a/my-brain/concurrent-programming/threads-and-process-in-python.html +++ b/my-brain/concurrent-programming/threads-and-process-in-python.html @@ -9,8 +9,8 @@ - - + +

Threads and Process in Python

Introduction

diff --git a/my-brain/data-science.html b/my-brain/data-science.html index 9b06b4f2..49c73371 100644 --- a/my-brain/data-science.html +++ b/my-brain/data-science.html @@ -9,8 +9,8 @@ - - + +

Data Science

diff --git a/my-brain/data-science/correlation.html b/my-brain/data-science/correlation.html index 0713a2b7..27dbfbca 100644 --- a/my-brain/data-science/correlation.html +++ b/my-brain/data-science/correlation.html @@ -9,8 +9,8 @@ - - + +

Correlation (or Dependence)

diff --git a/my-brain/data-science/histogram.html b/my-brain/data-science/histogram.html index e832f325..141cc68f 100644 --- a/my-brain/data-science/histogram.html +++ b/my-brain/data-science/histogram.html @@ -9,8 +9,8 @@ - - + +

Histogram

diff --git a/my-brain/data-science/machine-learning.html b/my-brain/data-science/machine-learning.html index 38191db0..cdfb1774 100644 --- a/my-brain/data-science/machine-learning.html +++ b/my-brain/data-science/machine-learning.html @@ -9,8 +9,8 @@ - - + +

Machine Learning

diff --git a/my-brain/data-science/machine-learning/k-means-clustering.html b/my-brain/data-science/machine-learning/k-means-clustering.html index b95ecc70..5b274382 100644 --- a/my-brain/data-science/machine-learning/k-means-clustering.html +++ b/my-brain/data-science/machine-learning/k-means-clustering.html @@ -9,8 +9,8 @@ - - + +

K-Means Clustering

diff --git a/my-brain/data-science/machine-learning/machine-learning-specialist-course.html b/my-brain/data-science/machine-learning/machine-learning-specialist-course.html index 0cbab341..6ccb2beb 100644 --- a/my-brain/data-science/machine-learning/machine-learning-specialist-course.html +++ b/my-brain/data-science/machine-learning/machine-learning-specialist-course.html @@ -9,8 +9,8 @@ - - + +

Machine Learning Specialist Course

This is the notes that I take during the course from Digital Innovation One.

diff --git a/my-brain/data-science/machine-learning/machine-learning-specialist-course/machine-learning-specialist-course-genetic-algorithms.html b/my-brain/data-science/machine-learning/machine-learning-specialist-course/machine-learning-specialist-course-genetic-algorithms.html index e86b28d6..c9299812 100644 --- a/my-brain/data-science/machine-learning/machine-learning-specialist-course/machine-learning-specialist-course-genetic-algorithms.html +++ b/my-brain/data-science/machine-learning/machine-learning-specialist-course/machine-learning-specialist-course-genetic-algorithms.html @@ -9,8 +9,8 @@ - - + +

Genetic Algorithms

What is a Genetic Algorithm?

diff --git a/my-brain/data-science/machine-learning/machine-learning-specialist-course/machine-learning-specialist-course-introduction.html b/my-brain/data-science/machine-learning/machine-learning-specialist-course/machine-learning-specialist-course-introduction.html index d4124f17..d2afc1f6 100644 --- a/my-brain/data-science/machine-learning/machine-learning-specialist-course/machine-learning-specialist-course-introduction.html +++ b/my-brain/data-science/machine-learning/machine-learning-specialist-course/machine-learning-specialist-course-introduction.html @@ -9,8 +9,8 @@ - - + +

Introduction

Introduction

diff --git a/my-brain/data-science/machine-learning/machine-learning-specialist-course/machine-learning-specialist-course-svm.html b/my-brain/data-science/machine-learning/machine-learning-specialist-course/machine-learning-specialist-course-svm.html index f10b2279..c73e2498 100644 --- a/my-brain/data-science/machine-learning/machine-learning-specialist-course/machine-learning-specialist-course-svm.html +++ b/my-brain/data-science/machine-learning/machine-learning-specialist-course/machine-learning-specialist-course-svm.html @@ -9,8 +9,8 @@ - - + +

Support Vector Machine

alt text

diff --git a/my-brain/data-science/machine-learning/machine-learning-specialist-course/machine-learning-specialist-course-unsupervised-machine-learning.html b/my-brain/data-science/machine-learning/machine-learning-specialist-course/machine-learning-specialist-course-unsupervised-machine-learning.html index 4bf3e904..67d88533 100644 --- a/my-brain/data-science/machine-learning/machine-learning-specialist-course/machine-learning-specialist-course-unsupervised-machine-learning.html +++ b/my-brain/data-science/machine-learning/machine-learning-specialist-course/machine-learning-specialist-course-unsupervised-machine-learning.html @@ -9,8 +9,8 @@ - - + +

Unsupervised Machine Learning

It's used when we can't label the data, so the machine should work by it's own to find the patterns.

diff --git a/my-brain/databases.html b/my-brain/databases.html index 1d8ad05e..fd59daf1 100644 --- a/my-brain/databases.html +++ b/my-brain/databases.html @@ -9,8 +9,8 @@ - - + +

Database

This section is about databases.

diff --git a/my-brain/databases/data-model-types.html b/my-brain/databases/data-model-types.html index 93897e28..dbc56050 100644 --- a/my-brain/databases/data-model-types.html +++ b/my-brain/databases/data-model-types.html @@ -9,8 +9,8 @@ - - + +

Types of data model

diff --git a/my-brain/databases/disk-storage-file-structures-and-hashing.html b/my-brain/databases/disk-storage-file-structures-and-hashing.html index e86c684b..959be85f 100644 --- a/my-brain/databases/disk-storage-file-structures-and-hashing.html +++ b/my-brain/databases/disk-storage-file-structures-and-hashing.html @@ -9,8 +9,8 @@ - - + +

Disk Storage, Basic File Structures and Hashing

This are the notes that I during a DB class on College

diff --git a/my-brain/databases/sqlite.html b/my-brain/databases/sqlite.html index da04d88c..7e7a1e3f 100644 --- a/my-brain/databases/sqlite.html +++ b/my-brain/databases/sqlite.html @@ -9,8 +9,8 @@ - - + +

SQLite

Summary:

diff --git a/my-brain/godot.html b/my-brain/godot.html index 4e8cd447..b8042881 100644 --- a/my-brain/godot.html +++ b/my-brain/godot.html @@ -9,8 +9,8 @@ - - + +

Gamedev with Godot

So I start to feel that I need to build a game, cause I always wanted to do it. So here is the road map that I am following to learn how to build games with Godot.

diff --git a/my-brain/godot/changing-scenes.html b/my-brain/godot/changing-scenes.html index 08711aef..0a01ab8e 100644 --- a/my-brain/godot/changing-scenes.html +++ b/my-brain/godot/changing-scenes.html @@ -9,8 +9,8 @@ - - + +

Changing Scenes

In Godot, we have two ways to change scenes:

diff --git a/my-brain/godot/dogot-pausing.html b/my-brain/godot/dogot-pausing.html index 8807eab8..e81ddc08 100644 --- a/my-brain/godot/dogot-pausing.html +++ b/my-brain/godot/dogot-pausing.html @@ -9,8 +9,8 @@ - - + +

Pausing

Godot has a built-in pausing system that can be used to pause the game. This is useful for when you want to pause the game when the player presses the pause button.

diff --git a/my-brain/godot/godot-autoloads.html b/my-brain/godot/godot-autoloads.html index 328188a4..61024981 100644 --- a/my-brain/godot/godot-autoloads.html +++ b/my-brain/godot/godot-autoloads.html @@ -9,8 +9,8 @@ - - + +

Autoloads

AutoLoads are a way to shared data between scenes in Godot. diff --git a/my-brain/godot/godot-groups.html b/my-brain/godot/godot-groups.html index 678f936f..fa980839 100644 --- a/my-brain/godot/godot-groups.html +++ b/my-brain/godot/godot-groups.html @@ -9,8 +9,8 @@ - - + +

Groups

In Godot, we can use groups to organize our nodes. We can add nodes to a group and then access all nodes in that group.

diff --git a/my-brain/godot/godot-nodes.html b/my-brain/godot/godot-nodes.html index a1227840..4b51f06d 100644 --- a/my-brain/godot/godot-nodes.html +++ b/my-brain/godot/godot-nodes.html @@ -9,8 +9,8 @@ - - + +

Nodes

Nodes are the smallest components of a scene. diff --git a/my-brain/godot/godot-scenes.html b/my-brain/godot/godot-scenes.html index 2ea89667..8b158c28 100644 --- a/my-brain/godot/godot-scenes.html +++ b/my-brain/godot/godot-scenes.html @@ -9,8 +9,8 @@ - - + +

Scenes

Scenes are the components/objects of the game. We can break down a game in a lot of reusable scenes. The scenes are composed of nodes, that can be anything from a sprite to a camera.

diff --git a/my-brain/godot/godot-signals.html b/my-brain/godot/godot-signals.html index 69eca08f..3355e75e 100644 --- a/my-brain/godot/godot-signals.html +++ b/my-brain/godot/godot-signals.html @@ -9,8 +9,8 @@ - - + +

Signals

Signals are a way to communicate between nodes in Godot.

diff --git a/my-brain/godot/input-mapping.html b/my-brain/godot/input-mapping.html index 04d5276a..286bd4ba 100644 --- a/my-brain/godot/input-mapping.html +++ b/my-brain/godot/input-mapping.html @@ -9,8 +9,8 @@ - - + +

Input Mapping

Input Mapping is a way to map user inputs to actions in Godot. We can define input actions in the project settings and then use them in our scripts.

diff --git a/my-brain/javascript.html b/my-brain/javascript.html index eb61975e..56fadc4c 100644 --- a/my-brain/javascript.html +++ b/my-brain/javascript.html @@ -9,8 +9,8 @@ - - + +

Javascript

Things that I wanna study:

diff --git a/my-brain/linux.html b/my-brain/linux.html index 2bda3e56..aa82752d 100644 --- a/my-brain/linux.html +++ b/my-brain/linux.html @@ -9,8 +9,8 @@ - - + +

Linux

Some notes about Linux.

diff --git a/my-brain/linux/driver-development.html b/my-brain/linux/driver-development.html index 135d6e11..0a93e44b 100644 --- a/my-brain/linux/driver-development.html +++ b/my-brain/linux/driver-development.html @@ -9,8 +9,8 @@ - - + +

Driver Development

The most simple drive code had to have the functions module_init and module_exit to initialize and finalize the module. This are C macros that are defined in the linux/init.h header file.

diff --git a/my-brain/linux/driver-development/make-and-makefile.html b/my-brain/linux/driver-development/make-and-makefile.html index 3a210c01..271dda78 100644 --- a/my-brain/linux/driver-development/make-and-makefile.html +++ b/my-brain/linux/driver-development/make-and-makefile.html @@ -9,8 +9,8 @@ - - + +

Make and Makefile

Make

diff --git a/my-brain/linux/driver.html b/my-brain/linux/driver.html index a36914c3..ffc99559 100644 --- a/my-brain/linux/driver.html +++ b/my-brain/linux/driver.html @@ -9,8 +9,8 @@ - - + +

Driver

alt text

diff --git a/my-brain/linux/files.html b/my-brain/linux/files.html index f364d419..813ec93a 100644 --- a/my-brain/linux/files.html +++ b/my-brain/linux/files.html @@ -9,8 +9,8 @@ - - + +

Files

Files are a fundamental concept in Linux and other operating systems. They are used to store data, programs, and other information on disk. In Linux, files are organized into a hierarchical directory structure, with directories containing files and other directories. This structure is similar to a tree, with the root directory at the top and subdirectories branching off from it.

diff --git a/my-brain/linux/linux-kernel.html b/my-brain/linux/linux-kernel.html index af575019..c1812dea 100644 --- a/my-brain/linux/linux-kernel.html +++ b/my-brain/linux/linux-kernel.html @@ -9,8 +9,8 @@ - - + +

Linux Kernel

The Linux kernel is the core of the Linux operating system. It is responsible for managing hardware resources, scheduling processes, and providing a secure environment for applications to run.

diff --git a/my-brain/linux/system-call.html b/my-brain/linux/system-call.html index 99ad367e..c0c01c52 100644 --- a/my-brain/linux/system-call.html +++ b/my-brain/linux/system-call.html @@ -9,8 +9,8 @@ - - + +

System Call

System calls are the API interface between the user programs and the kernel. The kernel provides a set of system calls that user programs can use to request services from the kernel.

diff --git a/my-brain/machine-learning-and-data-science-course.html b/my-brain/machine-learning-and-data-science-course.html index e7a11939..787a3fa9 100644 --- a/my-brain/machine-learning-and-data-science-course.html +++ b/my-brain/machine-learning-and-data-science-course.html @@ -9,11 +9,11 @@ - - + + -

Machine Learning and Data Science from A to Z

Part 1 - Classification

+

Machine Learning and Data Science from A to Z

Part 1 - Classification

  • Data Pre-processing
  • Naive Bayes
    • diff --git a/my-brain/machine-learning-and-data-science-course/classification.html b/my-brain/machine-learning-and-data-science-course/classification.html index 0746481d..2adc97e2 100644 --- a/my-brain/machine-learning-and-data-science-course/classification.html +++ b/my-brain/machine-learning-and-data-science-course/classification.html @@ -9,11 +9,11 @@ - - + + -

    Classification

      +

      Classification

      • Pre-processing and preparation of the data for classification
      • Naive Bayes
      • Decision Trees
        • diff --git a/my-brain/machine-learning-and-data-science-course/classification/decision-trees.html b/my-brain/machine-learning-and-data-science-course/classification/decision-trees.html index d394f285..c5b71b9f 100644 --- a/my-brain/machine-learning-and-data-science-course/classification/decision-trees.html +++ b/my-brain/machine-learning-and-data-science-course/classification/decision-trees.html @@ -9,11 +9,11 @@ - - + + -

        Decision trees are a popular machine learning algorithm used for classification and regression tasks. They are easy to interpret and visualize, making them a popular choice for decision-making tasks.

        +

        Decision trees are a popular machine learning algorithm used for classification and regression tasks. They are easy to interpret and visualize, making them a popular choice for decision-making tasks.

        alt text

        Sumary

          diff --git a/my-brain/machine-learning-and-data-science-course/classification/naive-bayes.html b/my-brain/machine-learning-and-data-science-course/classification/naive-bayes.html index d5dc9904..052ce7d9 100644 --- a/my-brain/machine-learning-and-data-science-course/classification/naive-bayes.html +++ b/my-brain/machine-learning-and-data-science-course/classification/naive-bayes.html @@ -9,11 +9,11 @@ - - + + -

          naive-bayes

          Naive Bayes is a classification algorithm based on Bayes' theorem. It is simple and fast, and it is often used as a baseline for comparison with other more complex algorithms.

          +

          naive-bayes

          Naive Bayes is a classification algorithm based on Bayes' theorem. It is simple and fast, and it is often used as a baseline for comparison with other more complex algorithms.

          This use a probabilistic approach (Bayes' theorem) to classify data. It assumes that the presence of a particular feature in a class is unrelated to the presence of any other feature.

          Examples:

          \ No newline at end of file diff --git a/my-brain/machine-learning-and-data-science-course/computer-vision.html b/my-brain/machine-learning-and-data-science-course/computer-vision.html new file mode 100644 index 00000000..51dfa3d0 --- /dev/null +++ b/my-brain/machine-learning-and-data-science-course/computer-vision.html @@ -0,0 +1,118 @@ + + + + + +Computer Vision | Paulo Hernane + + + + + + + + + +

          Computer Vision

          Computer vision is a field of artificial intelligence that focuses on enabling computers to interpret and understand the visual world. It involves the development of algorithms and techniques that allow computers to extract information from images or videos.

          +
            +
          • Object and face detection
            • +
          • Face recognition
            • +
          • Object tracking
            • +
          • Image segmentation
            • +
          +

          Cascade Classifiers

          +

          To work with Cascade Classifiers to face detection we need to have a dataset with faces and non-faces images.

          +

          We need to apply the AdaBoost algorithm to select the best features to use in the classifier.

          +

          The Classifier is a cascade of weak classifiers that are trained to detect faces.

          +

          There a lot of pre-trained models available in OpenCV.

          +

          FAce Detection

          +
          import cv2
+
+# Load the pre-trained model
+face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
+
+# Load the image
+image = cv2.imread('image.jpg')
+
+# Convert the image to grayscale
+gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+
+# Detect faces in the image
+faces = face_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30))
+
+# Draw rectangles around the faces
+for (x, y, w, h) in faces:
+    cv2.rectangle(image, (x, y), (x+w, y+h), (255, 0, 0), 2)
+
+# Display the image
+cv2.imshow('Faces', image)
+cv2.waitKey(0)
+cv2.destroyAllWindows()
+
          +

          Face Recognition

          +

          LBPH (Local Binary Patterns Histograms)

          +

          The LBPH algorithm is a texture-based face recognition algorithm that works by extracting local binary patterns from an image and creating a histogram of these patterns.

          +
          import cv2
+
+# Load the pre-trained model
+lbph = cv2.face.LBPHFaceRecognizer_create()
+
+# Train the model
+lbph.train(faces, labels)
+
+# Save the model
+lbph.write('lbph_model.xml')
+
+# Load the model
+lpbh = cv2.face.LBPHFaceRecognizer_create()
+lbph.read('lbph_model.xml')
+
+# Predict the label of a face
+label, confidence = lbph.predict(face)
+
          +

          Object Tracking

          +
            +
          • More fast than object detection
            • +
          • The object uses the previous position to predict the next position
            • +
          +

          CSRT (Channel and Spatial Reliability Tracker)

          +

          The CSRT algorithm is a robust object tracking algorithm that uses the channel and spatial reliability of the object to track it.

          +
          import cv2
+
+# Load the pre-trained model
+tracker = cv2.TrackerCSRT_create()
+
+# Load the video
+video = cv2.VideoCapture('video.mp4')
+
+# Read the first frame
+ok, frame = video.read()
+
+# Select the object to track
+bbox = cv2.selectROI(frame)
+
+# Initialize the tracker
+ok = tracker.init(frame, bbox)
+
+# Track the object in the video
+while True:
+  ok, frame = video.read()
+  if not ok:
+    break
+
+  # Update the tracker
+  ok, bbox = tracker.update(frame)
+
+  if ok:
+    # Draw a rectangle around the object
+    (x, y, w, h) = [int(v) for v in bbox]
+    cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 0, 0), 2)
+  else:
+    # Tracking failure
+    cv2.putText(frame, 'Tracking failure detected', (100, 80), cv2.FONT_HERSHEY_SIMPLEX, 0.75, (0, 0, 255), 2)
+
+  if cv2.waitKey(1) & 0xFF == 27:
+    break
+
          + + \ No newline at end of file diff --git a/my-brain/machine-learning-and-data-science-course/data-pre-processing.html b/my-brain/machine-learning-and-data-science-course/data-pre-processing.html index 7d133e40..90f69717 100644 --- a/my-brain/machine-learning-and-data-science-course/data-pre-processing.html +++ b/my-brain/machine-learning-and-data-science-course/data-pre-processing.html @@ -9,11 +9,11 @@ - - + + -

          Data Pre-processing

          Data pre-processing is a crucial step in the data analysis process. It involves cleaning, transforming, and preparing raw data into a format suitable for analysis. The quality of the data and the accuracy of the results depend on the pre-processing steps. Here are some common data pre-processing techniques:

          +

          Data Pre-processing

          Data pre-processing is a crucial step in the data analysis process. It involves cleaning, transforming, and preparing raw data into a format suitable for analysis. The quality of the data and the accuracy of the results depend on the pre-processing steps. Here are some common data pre-processing techniques:

          1. Load the data: Import the data from various sources such as CSV files, databases, APIs, etc.
          2. Handle inconsistent data: Check for missing values, duplicate records, and outliers.
            3. @@ -40,6 +40,6 @@ # Load the variables from a file X_train, X_test, y_train, y_test = load('vars.joblib') -
          +
          \ No newline at end of file diff --git a/my-brain/machine-learning-and-data-science-course/data-pre-processing/categorical-variables.html b/my-brain/machine-learning-and-data-science-course/data-pre-processing/categorical-variables.html index 79203e0e..d4b4a58d 100644 --- a/my-brain/machine-learning-and-data-science-course/data-pre-processing/categorical-variables.html +++ b/my-brain/machine-learning-and-data-science-course/data-pre-processing/categorical-variables.html @@ -9,11 +9,11 @@ - - + + -

          Categorical Variables

          To use some variables that are categorical we need to transform them into numerical values. This process is known as encoding or feature encoding.

          +

          Categorical Variables

          To use some variables that are categorical we need to transform them into numerical values. This process is known as encoding or feature encoding.

          Label Encoding

          Label encoding is a technique used to convert categorical variables into numerical values. It assigns a unique integer to each category in the variable.

          from sklearn.preprocessing import LabelEncoder
diff --git a/my-brain/machine-learning-and-data-science-course/data-pre-processing/data-standardization.html b/my-brain/machine-learning-and-data-science-course/data-pre-processing/data-standardization.html
index 5d41570c..c8146cb5 100644
--- a/my-brain/machine-learning-and-data-science-course/data-pre-processing/data-standardization.html
+++ b/my-brain/machine-learning-and-data-science-course/data-pre-processing/data-standardization.html
@@ -9,11 +9,11 @@
 
 
 
-
-
+
+
 
 
-
          Data Standardization
          Whem working with some algorithms, we need to standardize the data to a common scale, cause some algorithms are sensitive to the scale of the input data.
          
+
          Data Standardization
          Whem working with some algorithms, we need to standardize the data to a common scale, cause some algorithms are sensitive to the scale of the input data.
          
 
          Standardization
          
 
          x = (x - mean(x)) / standard deviation(x)
          
 
          Where:
          
diff --git a/my-brain/machine-learning-and-data-science-course/data-pre-processing/handle-inconsistent-data.html b/my-brain/machine-learning-and-data-science-course/data-pre-processing/handle-inconsistent-data.html
index a528a31b..220434f7 100644
--- a/my-brain/machine-learning-and-data-science-course/data-pre-processing/handle-inconsistent-data.html
+++ b/my-brain/machine-learning-and-data-science-course/data-pre-processing/handle-inconsistent-data.html
@@ -9,11 +9,11 @@
 
 
 
-
-
+
+
 
 
-
          Handle Inconsistent Data
          The best way to handle inconsistent values depends on the dataset and the problem you are trying to solve. Here are some common strategies:
          
+
          Handle Inconsistent Data
          The best way to handle inconsistent values depends on the dataset and the problem you are trying to solve. Here are some common strategies:
          
 
            
 
          • 
 
            Remove: Remove the rows or columns with inconsistent values. This is the simplest approach but can lead to a loss of valuable information.
            
diff --git a/my-brain/machine-learning-and-data-science-course/data-pre-processing/split-data.html b/my-brain/machine-learning-and-data-science-course/data-pre-processing/split-data.html
index e2e68c62..ad771ea0 100644
--- a/my-brain/machine-learning-and-data-science-course/data-pre-processing/split-data.html
+++ b/my-brain/machine-learning-and-data-science-course/data-pre-processing/split-data.html
@@ -9,11 +9,11 @@
 
 
 
-
-
+
+
 
 
-
            Split Data
            We need to split the data in previsor variables and target variable. We will use the previsor variables to predict the target variable. The target variable is the variable we are trying to predict.
            
+
            Split Data
            We need to split the data in previsor variables and target variable. We will use the previsor variables to predict the target variable. The target variable is the variable we are trying to predict.
            
 
            Split Data
            
 
            import pandas as pd
 
diff --git a/my-brain/machine-learning-and-data-science-course/data-pre-processing/variables-types.html b/my-brain/machine-learning-and-data-science-course/data-pre-processing/variables-types.html
index ad25472d..4d137108 100644
--- a/my-brain/machine-learning-and-data-science-course/data-pre-processing/variables-types.html
+++ b/my-brain/machine-learning-and-data-science-course/data-pre-processing/variables-types.html
@@ -9,11 +9,11 @@
 
 
 
-
-
+
+
 
 
-
            Variables Types
            We need to now the variables types to better use and choose the right algorithms.
            
+
            Variables Types
            We need to now the variables types to better use and choose the right algorithms.
            
 
            Variables Types
            
 
            Numerical Variables
            
 
              
diff --git a/my-brain/machine-learning-and-data-science-course/feature-engineering-and-selection.html b/my-brain/machine-learning-and-data-science-course/feature-engineering-and-selection.html
index 9c215be3..b6caa1dd 100644
--- a/my-brain/machine-learning-and-data-science-course/feature-engineering-and-selection.html
+++ b/my-brain/machine-learning-and-data-science-course/feature-engineering-and-selection.html
@@ -9,11 +9,11 @@
 
 
 
-
-
+
+
 
 
-
              Feature Engineering and Selection
              It's note true that more atributtes will make a model better.
+
              Feature Engineering and Selection
              It's note true that more atributtes will make a model better.
 So we need to select the best features to use in our model.
              
 
              Low variance
              
 
              Variance is a measure of how much the value is spread out (has a large range).
diff --git a/my-brain/machine-learning-and-data-science-course/model-validation.html b/my-brain/machine-learning-and-data-science-course/model-validation.html
index 7e02123c..3ac9f386 100644
--- a/my-brain/machine-learning-and-data-science-course/model-validation.html
+++ b/my-brain/machine-learning-and-data-science-course/model-validation.html
@@ -9,11 +9,11 @@
 
 
 
-
-
+
+
 
 
-
              Model Validation
              Model validation is the process of evaluating the performance of a machine learning model. It is essential to ensure that the model generalizes well to new, unseen data. There are several techniques for model validation, including:
              
+
              Model Validation
              Model validation is the process of evaluating the performance of a machine learning model. It is essential to ensure that the model generalizes well to new, unseen data. There are several techniques for model validation, including:
              
 
                
 
              1. 
 
                Train/Test Split: The dataset is divided into two parts: a training set and a test set. The model is trained on the training set and evaluated on the test set. This is the simplest form of model validation.
                
diff --git a/my-brain/machine-learning-and-data-science-course/resampling.html b/my-brain/machine-learning-and-data-science-course/resampling.html
index c74b774e..6e62c6ae 100644
--- a/my-brain/machine-learning-and-data-science-course/resampling.html
+++ b/my-brain/machine-learning-and-data-science-course/resampling.html
@@ -9,11 +9,11 @@
 
 
 
-
-
+
+
 
 
-
                Resampling
                alt text
                
+
                Resampling
                alt text
                
 
                Resampling is a technique used to address imbalanced datasets, where one class is significantly more frequent than the other. This can lead to biased models that perform poorly on the minority class. Resampling methods aim to balance the dataset by either oversampling the minority class or undersampling the majority class.
                
 
                Undersampling
                
 
                  
diff --git a/my-brain/math.html b/my-brain/math.html
index 3eb1e110..8c8b0cb9 100644
--- a/my-brain/math.html
+++ b/my-brain/math.html
@@ -9,8 +9,8 @@
 
 
 
-
-
+
+
 
 
 
                  Math
                  This section is about math.
                  
diff --git a/my-brain/math/probability.html b/my-brain/math/probability.html
index 61b6c2f9..f585b8c1 100644
--- a/my-brain/math/probability.html
+++ b/my-brain/math/probability.html
@@ -9,8 +9,8 @@
 
 
 
-
-
+
+
 
 
 
                  Probability
                  Probability is the branch of mathematics that deals with how likely an event is to occur or how likely it is that a proposition is true.
                  
diff --git a/my-brain/math/probability/bayes-theorem.html b/my-brain/math/probability/bayes-theorem.html
index 9761182a..bf59af23 100644
--- a/my-brain/math/probability/bayes-theorem.html
+++ b/my-brain/math/probability/bayes-theorem.html
@@ -9,8 +9,8 @@
 
 
 
-
-
+
+
 
 
 
                  Bayes Theorem
                  Bayes' Theorem is a fundamental theorem in probability theory that describes the probability of an event, based on prior knowledge of conditions that might be related to the event.
                  
diff --git a/my-brain/system-design.html b/my-brain/system-design.html
index b33d7a47..7bf0de0d 100644
--- a/my-brain/system-design.html
+++ b/my-brain/system-design.html
@@ -9,8 +9,8 @@
 
 
 
-
-
+
+
 
 
 
                  System Design
                  Contents that I want to learn about distributed systems:
                  
diff --git a/my-brain/tags.html b/my-brain/tags.html
index 842c0343..505bf71f 100644
--- a/my-brain/tags.html
+++ b/my-brain/tags.html
@@ -9,10 +9,10 @@
 
 
 
-
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+
+
 
 
-
                  Tags
                  
+
                  Tags
                  
 
 
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diff --git a/my-brain/tags/barrier.html b/my-brain/tags/barrier.html
index 77588608..08328350 100644
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+
 
 
 
                  One doc tagged with "Barrier"
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diff --git a/my-brain/tags/busy-waiting.html b/my-brain/tags/busy-waiting.html
index 51f26924..26dc7a7e 100644
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+
 
 
 
                  One doc tagged with "Busy Waiting"
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diff --git a/my-brain/tags/classification.html b/my-brain/tags/classification.html
index 433419cc..77df920a 100644
--- a/my-brain/tags/classification.html
+++ b/my-brain/tags/classification.html
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-
-
+
+
 
 
 
                  One doc tagged with "classification"
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                  naive-bayes
                  Naive Bayes is a classification algorithm based on Bayes' theorem. It is simple and fast, and it is often used as a baseline for comparison with other more complex algorithms.
                  
diff --git a/my-brain/tags/clustering.html b/my-brain/tags/clustering.html
index c1992437..e9ba8d1c 100644
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+++ b/my-brain/tags/clustering.html
@@ -9,8 +9,8 @@
 
 
 
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-
+
+
 
 
 
                  One doc tagged with "Clustering"
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                  K-Means Clustering
                  K-Means Clustering is an unsupervided machine learning model, that belongs to the class of clustering algotithms.
                  
diff --git a/my-brain/tags/computer-vision.html b/my-brain/tags/computer-vision.html
new file mode 100644
index 00000000..18f47f8a
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+++ b/my-brain/tags/computer-vision.html
@@ -0,0 +1,18 @@
+
+
+
+
+
+One doc tagged with "computer-vision" | Paulo Hernane
+
+
+
+
+
+
+
+
+
+
                  One doc tagged with "computer-vision"
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                  Computer Vision
                  Computer vision is a field of artificial intelligence that focuses on enabling computers to interpret and understand the visual world. It involves the development of algorithms and techniques that allow computers to extract information from images or videos.
                  
+
+
\ No newline at end of file
diff --git a/my-brain/tags/conceptual-data-model.html b/my-brain/tags/conceptual-data-model.html
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+
 
 
 
                  One doc tagged with "Conceptual Data Model"
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index 5f3ff7af..93685aec 100644
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+
 
 
 
                  One doc tagged with "Concurrency"
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index fea581bc..0bb0fb3b 100644
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+
+
 
 
 
                  5 docs tagged with "Concurrent Programming"
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                  Semaphore
                  Before understand what is a semaphore, we need to understand some concepts:
                  
diff --git a/my-brain/tags/conditional-variables.html b/my-brain/tags/conditional-variables.html
index f1ee2065..59743842 100644
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                  One doc tagged with "Conditional Variables"
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diff --git a/my-brain/tags/correlation.html b/my-brain/tags/correlation.html
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                  One doc tagged with "Correlation"
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diff --git a/my-brain/tags/data-science.html b/my-brain/tags/data-science.html
index 4a79fa07..8a71c5c2 100644
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                  7 docs tagged with "Data Science"
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                  decision-tree
                  Decision trees are a popular machine learning algorithm used for classification and regression tasks. They are easy to interpret and visualize, making them a popular choice for decision-making tasks.
                  Histogram
                  Histogram is a graphical used to visualize the distribution of a numerical variable. It is a type of bar chart that shows the frequency of each value.
                  How it works
                  1. We create a probability table for each class.
                  K-Means Clustering
                  K-Means Clustering is an unsupervided machine learning model, that belongs to the class of clustering algotithms.
                  Model Validation
                  Model validation is the process of evaluating the performance of a machine learning model. It is essential to ensure that the model generalizes well to new, unseen data. There are several techniques for model validation, including:
                  
diff --git a/my-brain/tags/database-administrator.html b/my-brain/tags/database-administrator.html
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                  One doc tagged with "Database Administrator"
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                  One doc tagged with "DBMS"
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diff --git a/my-brain/tags/decision-trees.html b/my-brain/tags/decision-trees.html
index 084bdc0f..225ac6bb 100644
--- a/my-brain/tags/decision-trees.html
+++ b/my-brain/tags/decision-trees.html
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                  One doc tagged with "decision trees"
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                  decision-tree
                  Decision trees are a popular machine learning algorithm used for classification and regression tasks. They are easy to interpret and visualize, making them a popular choice for decision-making tasks.
                  
diff --git a/my-brain/tags/deep-learning.html b/my-brain/tags/deep-learning.html
new file mode 100644
index 00000000..c2f725cc
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+One doc tagged with "deep-learning" | Paulo Hernane
+
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                  One doc tagged with "deep-learning"
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                  Computer Vision
                  Computer vision is a field of artificial intelligence that focuses on enabling computers to interpret and understand the visual world. It involves the development of algorithms and techniques that allow computers to extract information from images or videos.
                  
+
+
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diff --git a/my-brain/tags/design-patterns.html b/my-brain/tags/design-patterns.html
index 63a2fc9b..0681faec 100644
--- a/my-brain/tags/design-patterns.html
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                  One doc tagged with "Design Patterns"
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                  System Design
                  Contents that I want to learn about distributed systems:
                  
diff --git a/my-brain/tags/development.html b/my-brain/tags/development.html
index 03971bdc..a09b63f9 100644
--- a/my-brain/tags/development.html
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                  One doc tagged with "development"
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                  Driver Development
                  The most simple drive code had to have the functions moduleinit and moduleexit to initialize and finalize the module. This are C macros that are defined in the linux/init.h header file.
                  
diff --git a/my-brain/tags/disk-storage.html b/my-brain/tags/disk-storage.html
index 828ae632..d6b2f29a 100644
--- a/my-brain/tags/disk-storage.html
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                  One doc tagged with "disk-storage"
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diff --git a/my-brain/tags/distributed-systems.html b/my-brain/tags/distributed-systems.html
index 7a137c8b..9097f563 100644
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                  2 docs tagged with "Distributed Systems"
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                  inter-process-communication
                  All the time the processes need to communicate with each other to exchange information, like a server with a database, this process is called Inter-Process Communication.
                  System Design
                  Contents that I want to learn about distributed systems:
                  
diff --git a/my-brain/tags/driver.html b/my-brain/tags/driver.html
index 95ecbe77..c3260d54 100644
--- a/my-brain/tags/driver.html
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                  2 docs tagged with "driver"
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                  Driver Development
                  The most simple drive code had to have the functions moduleinit and moduleexit to initialize and finalize the module. This are C macros that are defined in the linux/init.h header file.
                  
diff --git a/my-brain/tags/elbow-method.html b/my-brain/tags/elbow-method.html
index 4d477606..7944ae9c 100644
--- a/my-brain/tags/elbow-method.html
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                  One doc tagged with "Elbow Method"
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                  K-Means Clustering
                  K-Means Clustering is an unsupervided machine learning model, that belongs to the class of clustering algotithms.
                  
diff --git a/my-brain/tags/em-algorithm.html b/my-brain/tags/em-algorithm.html
index e2f70086..5f639c13 100644
--- a/my-brain/tags/em-algorithm.html
+++ b/my-brain/tags/em-algorithm.html
@@ -9,8 +9,8 @@
 
 
 
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                  One doc tagged with "EM Algorithm"
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                  K-Means Clustering
                  K-Means Clustering is an unsupervided machine learning model, that belongs to the class of clustering algotithms.
                  
diff --git a/my-brain/tags/entity-relationship-model.html b/my-brain/tags/entity-relationship-model.html
index 15d0c3d2..f5c72edd 100644
--- a/my-brain/tags/entity-relationship-model.html
+++ b/my-brain/tags/entity-relationship-model.html
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                  One doc tagged with "Entity-Relationship Model"
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diff --git a/my-brain/tags/exclusion.html b/my-brain/tags/exclusion.html
index 15800b4a..19044c78 100644
--- a/my-brain/tags/exclusion.html
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                  2 docs tagged with "Exclusion"
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                  Semaphore
                  Before understand what is a semaphore, we need to understand some concepts:
                  
diff --git a/my-brain/tags/expectation-maximization.html b/my-brain/tags/expectation-maximization.html
index 583e0769..1679fbc8 100644
--- a/my-brain/tags/expectation-maximization.html
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                  One doc tagged with "Expectation–Maximization"
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                  K-Means Clustering
                  K-Means Clustering is an unsupervided machine learning model, that belongs to the class of clustering algotithms.
                  
diff --git a/my-brain/tags/feature-engineering.html b/my-brain/tags/feature-engineering.html
index af6975b2..16b10194 100644
--- a/my-brain/tags/feature-engineering.html
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                  One doc tagged with "feature-engineering"
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diff --git a/my-brain/tags/feature-selection.html b/my-brain/tags/feature-selection.html
index 9b48cf1c..f086b726 100644
--- a/my-brain/tags/feature-selection.html
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                  One doc tagged with "feature-selection"
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diff --git a/my-brain/tags/file-structures.html b/my-brain/tags/file-structures.html
index b8c3fff0..f5987a22 100644
--- a/my-brain/tags/file-structures.html
+++ b/my-brain/tags/file-structures.html
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                  One doc tagged with "file-structures"
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diff --git a/my-brain/tags/files.html b/my-brain/tags/files.html
index 29b9c50d..d92b6116 100644
--- a/my-brain/tags/files.html
+++ b/my-brain/tags/files.html
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                  One doc tagged with "files"
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                  Files
                  Files are a fundamental concept in Linux and other operating systems. They are used to store data, programs, and other information on disk. In Linux, files are organized into a hierarchical directory structure, with directories containing files and other directories. This structure is similar to a tree, with the root directory at the top and subdirectories branching off from it.
                  
diff --git a/my-brain/tags/hashing.html b/my-brain/tags/hashing.html
index 6e0a9daa..883d2f93 100644
--- a/my-brain/tags/hashing.html
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                  One doc tagged with "hashing"
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diff --git a/my-brain/tags/histogram.html b/my-brain/tags/histogram.html
index 509dcb4e..99af656c 100644
--- a/my-brain/tags/histogram.html
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                  One doc tagged with "Histogram"
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                  Histogram
                  Histogram is a graphical used to visualize the distribution of a numerical variable. It is a type of bar chart that shows the frequency of each value.
                  
diff --git a/my-brain/tags/image-processing.html b/my-brain/tags/image-processing.html
new file mode 100644
index 00000000..2a1dc9a2
--- /dev/null
+++ b/my-brain/tags/image-processing.html
@@ -0,0 +1,18 @@
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+One doc tagged with "image-processing" | Paulo Hernane
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                  One doc tagged with "image-processing"
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                  Computer Vision
                  Computer vision is a field of artificial intelligence that focuses on enabling computers to interpret and understand the visual world. It involves the development of algorithms and techniques that allow computers to extract information from images or videos.
                  
+
+
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diff --git a/my-brain/tags/imbalanced-data.html b/my-brain/tags/imbalanced-data.html
index 36e123cc..d871fffa 100644
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diff --git a/my-brain/tags/inter-process-communication.html b/my-brain/tags/inter-process-communication.html
index 8ba8344f..ed9b61ab 100644
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                  One doc tagged with "Inter-Process Communication"
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                  inter-process-communication
                  All the time the processes need to communicate with each other to exchange information, like a server with a database, this process is called Inter-Process Communication.
                  
diff --git a/my-brain/tags/ipc.html b/my-brain/tags/ipc.html
index 66ae6945..9043330e 100644
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                  One doc tagged with "IPC"
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                  inter-process-communication
                  All the time the processes need to communicate with each other to exchange information, like a server with a database, this process is called Inter-Process Communication.
                  
diff --git a/my-brain/tags/k-means.html b/my-brain/tags/k-means.html
index bd895b93..5da5b5ba 100644
--- a/my-brain/tags/k-means.html
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                  One doc tagged with "K-Means"
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                  K-Means Clustering
                  K-Means Clustering is an unsupervided machine learning model, that belongs to the class of clustering algotithms.
                  
diff --git a/my-brain/tags/linux.html b/my-brain/tags/linux.html
index a5dbfdd9..4e169b5a 100644
--- a/my-brain/tags/linux.html
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                  4 docs tagged with "linux"
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                  Driver Development
                  The most simple drive code had to have the functions moduleinit and moduleexit to initialize and finalize the module. This are C macros that are defined in the linux/init.h header file.
                  Files
                  Files are a fundamental concept in Linux and other operating systems. They are used to store data, programs, and other information on disk. In Linux, files are organized into a hierarchical directory structure, with directories containing files and other directories. This structure is similar to a tree, with the root directory at the top and subdirectories branching off from it.
                  System Call
                  System calls are the API interface between the user programs and the kernel. The kernel provides a set of system calls that user programs can use to request services from the kernel.
                  
diff --git a/my-brain/tags/logic-data-model.html b/my-brain/tags/logic-data-model.html
index 3a70bb80..76509ae5 100644
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                  One doc tagged with "Logic Data Model"
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diff --git a/my-brain/tags/machine-learning.html b/my-brain/tags/machine-learning.html
index 372dddb3..d610d757 100644
--- a/my-brain/tags/machine-learning.html
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@@ -3,16 +3,16 @@
 
 
 
-7 docs tagged with "Machine Learning" | Paulo Hernane
+8 docs tagged with "Machine Learning" | Paulo Hernane
 
 
 
 
 
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                  7 docs tagged with "Machine Learning"
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                  decision-tree
                  Decision trees are a popular machine learning algorithm used for classification and regression tasks. They are easy to interpret and visualize, making them a popular choice for decision-making tasks.
                  How it works
                  1. We create a probability table for each class.
                  K-Means Clustering
                  K-Means Clustering is an unsupervided machine learning model, that belongs to the class of clustering algotithms.
                  Model Validation
                  Model validation is the process of evaluating the performance of a machine learning model. It is essential to ensure that the model generalizes well to new, unseen data. There are several techniques for model validation, including:
                  naive-bayes
                  Naive Bayes is a classification algorithm based on Bayes' theorem. It is simple and fast, and it is often used as a baseline for comparison with other more complex algorithms.
                  
+
                  8 docs tagged with "Machine Learning"
                  View All Tags
                  Computer Vision
                  Computer vision is a field of artificial intelligence that focuses on enabling computers to interpret and understand the visual world. It involves the development of algorithms and techniques that allow computers to extract information from images or videos.
                  decision-tree
                  Decision trees are a popular machine learning algorithm used for classification and regression tasks. They are easy to interpret and visualize, making them a popular choice for decision-making tasks.
                  How it works
                  1. We create a probability table for each class.
                  K-Means Clustering
                  K-Means Clustering is an unsupervided machine learning model, that belongs to the class of clustering algotithms.
                  Model Validation
                  Model validation is the process of evaluating the performance of a machine learning model. It is essential to ensure that the model generalizes well to new, unseen data. There are several techniques for model validation, including:
                  naive-bayes
                  Naive Bayes is a classification algorithm based on Bayes' theorem. It is simple and fast, and it is often used as a baseline for comparison with other more complex algorithms.
                  
 
 
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diff --git a/my-brain/tags/make.html b/my-brain/tags/make.html
index 3ca57787..854a92a1 100644
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                  One doc tagged with "make"
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diff --git a/my-brain/tags/makefile.html b/my-brain/tags/makefile.html
index 0e592c86..5bdd75bf 100644
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diff --git a/my-brain/tags/math.html b/my-brain/tags/math.html
index c58aaaf0..f9a1e814 100644
--- a/my-brain/tags/math.html
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                  One doc tagged with "math"
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                  Math
                  This section is about math.
                  
diff --git a/my-brain/tags/mer.html b/my-brain/tags/mer.html
index a15cf12f..c5896890 100644
--- a/my-brain/tags/mer.html
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                  One doc tagged with "MER"
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diff --git a/my-brain/tags/model-validation.html b/my-brain/tags/model-validation.html
index 5dfdc370..a2991389 100644
--- a/my-brain/tags/model-validation.html
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                  One doc tagged with "model validation"
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                  Model Validation
                  Model validation is the process of evaluating the performance of a machine learning model. It is essential to ensure that the model generalizes well to new, unseen data. There are several techniques for model validation, including:
                  
diff --git a/my-brain/tags/multiplex.html b/my-brain/tags/multiplex.html
index be6fc400..876e0fdc 100644
--- a/my-brain/tags/multiplex.html
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                  One doc tagged with "Multiplex"
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diff --git a/my-brain/tags/mutex.html b/my-brain/tags/mutex.html
index 69265201..50eadcc2 100644
--- a/my-brain/tags/mutex.html
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                  2 docs tagged with "Mutex"
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                  Semaphore
                  Before understand what is a semaphore, we need to understand some concepts:
                  
diff --git a/my-brain/tags/naive-bayes.html b/my-brain/tags/naive-bayes.html
index 99b3f55e..2cf2b6d7 100644
--- a/my-brain/tags/naive-bayes.html
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                  One doc tagged with "naive bayes"
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                  How it works
                  1. We create a probability table for each class.
                  
diff --git a/my-brain/tags/object-oriented-model.html b/my-brain/tags/object-oriented-model.html
index e7c09b9a..476303f8 100644
--- a/my-brain/tags/object-oriented-model.html
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                  One doc tagged with "Object-Oriented Model"
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diff --git a/my-brain/tags/parallelism.html b/my-brain/tags/parallelism.html
index 75216282..e5f192b3 100644
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diff --git a/my-brain/tags/physical-data-model.html b/my-brain/tags/physical-data-model.html
index 95e1a516..6be4a2f4 100644
--- a/my-brain/tags/physical-data-model.html
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                  One doc tagged with "Physical Data Model"
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diff --git a/my-brain/tags/process.html b/my-brain/tags/process.html
index 7200c7dd..70faf22a 100644
--- a/my-brain/tags/process.html
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                  One doc tagged with "Process"
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diff --git a/my-brain/tags/python.html b/my-brain/tags/python.html
index c1aaa0a8..ab085258 100644
--- a/my-brain/tags/python.html
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                  One doc tagged with "Python"
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                  K-Means Clustering
                  K-Means Clustering is an unsupervided machine learning model, that belongs to the class of clustering algotithms.
                  
diff --git a/my-brain/tags/race-condition.html b/my-brain/tags/race-condition.html
index d1dd56b9..36841c4c 100644
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                  2 docs tagged with "Race Condition"
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                  Semaphore
                  Before understand what is a semaphore, we need to understand some concepts:
                  
diff --git a/my-brain/tags/relational-model.html b/my-brain/tags/relational-model.html
index ae2b16a5..7c2bd88c 100644
--- a/my-brain/tags/relational-model.html
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                  One doc tagged with "Relational Model"
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diff --git a/my-brain/tags/rendezvous.html b/my-brain/tags/rendezvous.html
index be651133..bda5b37c 100644
--- a/my-brain/tags/rendezvous.html
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                  2 docs tagged with "Rendezvous"
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                  Semaphore
                  Before understand what is a semaphore, we need to understand some concepts:
                  
diff --git a/my-brain/tags/resampling.html b/my-brain/tags/resampling.html
index a84b6183..4880c60f 100644
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diff --git a/my-brain/tags/reusable-barrier.html b/my-brain/tags/reusable-barrier.html
index 9907037e..a0990ea1 100644
--- a/my-brain/tags/reusable-barrier.html
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@@ -9,8 +9,8 @@
 
 
 
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                  One doc tagged with "Reusable Barrier"
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diff --git a/my-brain/tags/routine.html b/my-brain/tags/routine.html
index aee5eb54..4433e365 100644
--- a/my-brain/tags/routine.html
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                  One doc tagged with "Routine"
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diff --git a/my-brain/tags/sampling.html b/my-brain/tags/sampling.html
index 73055c27..3ed2b888 100644
--- a/my-brain/tags/sampling.html
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                  One doc tagged with "sampling"
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diff --git a/my-brain/tags/scikit-learn.html b/my-brain/tags/scikit-learn.html
index 0086ee3a..b232c06d 100644
--- a/my-brain/tags/scikit-learn.html
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                  One doc tagged with "Scikit-Learn"
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                  K-Means Clustering
                  K-Means Clustering is an unsupervided machine learning model, that belongs to the class of clustering algotithms.
                  
diff --git a/my-brain/tags/seaborn.html b/my-brain/tags/seaborn.html
index 81aeab33..ee2edb35 100644
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                  One doc tagged with "Seaborn"
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                  Histogram
                  Histogram is a graphical used to visualize the distribution of a numerical variable. It is a type of bar chart that shows the frequency of each value.
                  
diff --git a/my-brain/tags/semaphore.html b/my-brain/tags/semaphore.html
index 0e35ff3e..48f955c9 100644
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                  2 docs tagged with "Semaphore"
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                  Semaphore
                  Before understand what is a semaphore, we need to understand some concepts:
                  
diff --git a/my-brain/tags/signalizing.html b/my-brain/tags/signalizing.html
index cabd835c..3d1a31ba 100644
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diff --git a/my-brain/tags/silhouette-analysis.html b/my-brain/tags/silhouette-analysis.html
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                  K-Means Clustering
                  K-Means Clustering is an unsupervided machine learning model, that belongs to the class of clustering algotithms.
                  
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                  Histogram
                  Histogram is a graphical used to visualize the distribution of a numerical variable. It is a type of bar chart that shows the frequency of each value.
                  
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                  System Call
                  System calls are the API interface between the user programs and the kernel. The kernel provides a set of system calls that user programs can use to request services from the kernel.
                  
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                  System Design
                  Contents that I want to learn about distributed systems:
                  
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                  K-Means Clustering
                  K-Means Clustering is an unsupervided machine learning model, that belongs to the class of clustering algotithms.
                  
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                  This section contains the info about what I am learning.
                  
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