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chengmarc/README.md

Marc Cheng - chengmarc.com/main

  • Hello and welcome! I'm a data analyst, mathematics specialist, and a world traveler.
  • I hold a Bachelor of Science degree in Mathematics. My undergraduate studies provided me with a comprehensive introduction to various fields of mathematics, including Analysis, Algebra, Number Theory, Graph Theory, Combinatorics, and Game Theory.
  • As a specialist focused on Probability/Statistics, I also have completed courses about Multivariate Data and Time Series Analysis.
  • Recently, I've been working on some introductory image labelling project using convolutional neural networks, and I have been conducting some independent quantitative analysis on the cryptocurrency market.
  • When I'm not working or engaged in projects, I enjoy spending my free time watching anime, skateboarding, and traveling around the world.

  • 🌱 I’m currently learning: IBM DB2
  • 🌐 I’m proficient in: Python, Jupyter Notebook, R, SQL, HTML, JavaScript, Node.js
  • 💻 I’m experienced in: [ML] torch, keras, numpy [Analytics] pandas, matplotlib, ggplot2 [Crawling] selenium, bs4, requests
  • 📫 How to reach me | [email protected]

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  1. chengmarc.github.io chengmarc.github.io Public

    HTML

  2. image-labelling image-labelling Public

    The goal of this repository is to replicate some of the well known results for image labelling. For this project, datasets of interset are MNIST, EMNIST, CIFAR10, and CIFAR100.

    Python

  3. coinmetrics-data coinmetrics-data Public

    Forked from coinmetrics/data

    Archives of data produced by coinmetrics.io

    JavaScript

  4. quant-analysis quant-analysis Public

    A complete cryptocurrency market analysis based off historical data of 28000 different coins that covers market statistics, distribution fitting, and market simulation.

    Python

  5. trade-scan trade-scan Public

    TradeScan is a web crawler that extract data from the analysis platform TradingView.

    Python 1

  6. misc misc Public

    Repository for miscellaneous projects

    Jupyter Notebook