ML-From-Scratch

Simple Machine Learning Implementation for different languages.

This is a repository for implementing Machine Learning Algorithms from scratch with minium library, and as a learning platform for my COMP2211 Course. The goal is to understand the algorithms and their implementation.

Contributions are welcome!

Table of Contents

Supervised Learning

• Naive Bayes
• K Nearest Neighbors
• TBD

Unsupervised Learning

• TBD

Reinforcement Learning

• NEAT

Library used

This list may not be complete, but it is the list of libraries that I used for the implementation.

Python

• NumPy

C++

TypeScript / JavaScript

• numjs