Machine Learning Algorithms from Scratch

This repository contains implementations of fundamental machine learning algorithms from scratch, organized into three categories: supervised learning, unsupervised learning, and reinforced learning. The algorithms are implemented in Python, without relying on external libraries for the core functionality.

Installation: To install the required dependencies, run:

pip install -r requirements.txt

Table of Contents

1. Supervised Learning

   • 1.1 Linear Regression
   • 1.2 Logistic Regression
   • 1.3 k Nearest Neighbours (kNN) (Coming Soon)

2. Unsupervised Learning (Coming soon...)

3. Reinforced Learning (Coming soon...)

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