mkdocs.yml

site_name: TechShikhi
site_description: TechShikhi is a community-driven, open-source project dedicated to breaking down complex tech concepts into simple Bengali. It aims to make technology accessible to everyone, regardless of their background. The project offers a vast library of tech topics, from programming languages to machine learning, and encourages contributions from the community.

site_url: https://ai-naymul.github.io/TechShikhi/
repo_name: ai-naymul/TechShikhi
repo_url: https://github.com/ai-naymul/TechShikhi
edit_uri: ''
theme:
  # logo: assets/dark.svg

  # favicon: assets/favicon.png
  name: material
  features:
#    - navigation.sections
    - navigation.indexes
    - content.code.copy
  palette:
    # Palette toggle for light mode
    - scheme: default
      primary: teal
      toggle:
        icon: material/brightness-7
        name: Switch to dark mode
        logo: assets/techshikhi_logo_2.jpg


    # Palette toggle for dark mode
    - scheme: slate
      primary: teal
      toggle:
        icon: material/brightness-4
        name: Switch to light mode
#        logo: assets/TechShikhi-light.svg

    #primary: teal
  
markdown_extensions:
  - pymdownx.highlight:
      anchor_linenums: true
      line_spans: __span
      pygments_lang_class: true
  - pymdownx.inlinehilite
  - pymdownx.snippets
  - pymdownx.details
  - pymdownx.superfences
  - pymdownx.tabbed:
      alternate_style: true
  # - pymdownx.emoji:
  #     emoji_index: !!python/name:materialx.emoji.twemoji
  #     emoji_generator: !!python/name:materialx.emoji.to_svg
  - admonition
  - attr_list
  - md_in_html

extra:
  analytics:
    provider: google
    property: G-HTTNBRW3Z2
  social:
  - icon: fontawesome/brands/github-alt
    link: https://github.com/TechShikhi/TechShikhi
  - icon: fontawesome/brands/discord
    link: https://www.github.com/ai-naymul/TechShikhi
  - icon: fontawesome/brands/twitter
    link: https://twitter.com/ai-naymul

plugins:
  - search
  - awesome-pages
  - mkdocstrings:
      handlers:
        python:
          options:
            tring_style: sphinx
            inherited_members: true
            show_root_toc_entry: false
            show_root_heading: true
            show_submodules: yes

nav:
  - TechShikhi: index.md
  - Machine Learning:
    - Introduction to Machine Learning:
      - What is Machine Learning: Machine Learning/Introduction to Machine Learning/What is Machine Learning.md
      - Applications of Machine Learning: Machine Learning/Introduction to Machine Learning/Applications of Machine Learning.md
      - Difference between AI, Machine Learning, and Deep Learning: Machine Learning/Introduction to Machine Learning/Difference between AI, Machine Learning, and Deep Learning.md
    - Types of Machine Learning:
      - Supervised Learning: Machine Learning/Types of Machine Learning/Supervised Learning.md
      - Unsupervised Learning: Machine Learning/Types of Machine Learning/Unsupervised Learning.md
      - Semi-Supervised Learning: Machine Learning/Types of Machine Learning/Semi-Supervised Learning.md
      - Reinforcement Learning: Machine Learning/Types of Machine Learning/Reinforcement Learning.md
    - Machine Learning Algorithms:
      - Linear Regression: Machine Learning/Machine Learning Algorithms/Linear Regression.md
      - Logistic Regression: Machine Learning/Machine Learning Algorithms/Logistic Regression.md
      - Decision Trees: Machine Learning/Machine Learning Algorithms/Decision Trees.md
      - Random Forest: Machine Learning/Machine Learning Algorithms/Random Forest.md
      - K-Nearest Neighbors (KNN): Machine Learning/Machine Learning Algorithms/K-Nearest Neighbors (KNN).md
      - Support Vector Machines (SVM): Machine Learning/Machine Learning Algorithms/Support Vector Machines (SVM).md
    - Neural Networks:
      - Neural Networks and Deep Learning: Machine Learning/Neural Networks/Neural Networks and Deep Learning.md
      - Structure of Neural Networks: Machine Learning/Neural Networks/Structure of Neural Networks.md
      - How Neural Networks Mimic the Human Brain: Machine Learning/Neural Networks/How Neural Networks Mimic the Human Brain.md
    - Data in Machine Learning:
      - Importance of Data in Machine Learning: Machine Learning/Data in Machine Learning/Importance of Data in Machine Learning.md
      - How to Split Data into Training and Testing Sets: Machine Learning/Data in Machine Learning/How to Split Data into Training and Testing Sets.md
    - Model Evaluation:
      - Techniques to Evaluate the Performance of a Machine Learning Model: Machine Learning/Model Evaluation/Techniques to Evaluate the Performance of a Machine Learning Model.md
    - Overfitting and Underfitting:
      - Understanding Overfitting and Underfitting: Machine Learning/Overfitting and Underfitting/Understanding Overfitting and Underfitting.md
      - How to Handle Overfitting and Underfitting: Machine Learning/Overfitting and Underfitting/How to Handle Overfitting and Underfitting.md
    - Regularization:
      - Techniques to Prevent Overfitting: Machine Learning/Regularization/Techniques to Prevent Overfitting.md
    - Optimization Algorithms:
      - Understanding Optimization Algorithms like Gradient Descent: Machine Learning/Optimization Algorithms/Understanding Optimization Algorithms like Gradient Descent.md
    - Bias-Variance Tradeoff:
      - Understanding the Balance between Bias (Underfitting) and Variance (Overfitting): Machine Learning/Bias-Variance Tradeoff/Understanding the Balance between Bias (Underfitting) and Variance (Overfitting).md
      - Ethical AI and Bias Mitigation: Machine Learning/Bias-Variance Tradeoff/Ethical AI and Bias Mitigation.md
      - Understanding the Ethical Implications of Machine Learning: Machine Learning/Bias-Variance Tradeoff/Understanding the Ethical Implications of Machine Learning.md
      - How to Mitigate Bias in Machine Learning: Machine Learning/Bias-Variance Tradeoff/How to Mitigate Bias in Machine Learning.md





  - Contributing: CONTRIBUTING.md