Machine Learning Library Builds

A comprehensive machine learning library implementing fundamental algorithms entirely from scratch using only NumPy, Pandas, and Matplotlib. Built as part of the Winter of Code initiative.

📋 Project Overview

This project implements a complete suite of machine learning algorithms from the ground up, without relying on existing ML frameworks like scikit-learn or TensorFlow. The library includes both supervised and unsupervised learning algorithms, along with a fully-featured neural network implementation.

Implemented Algorithms

- [x] Linear Regression
- [ ] Polynomial Regression
- [x] Logistic Regression
- [ ] K-Nearest Neighbors
- [ ] K-Means Clustering
- [ ] Decision Trees
- [ ] Neural Network