60+ ML/AI/DL/RL/Bayesian algorithms implemented from scratch in NumPy -- plus mlscratch, a pip-installable package (pip install scratchkit) with a consistent, scikit-learn-style API and 1,100+ tests.

An interactive Heart Disease Prediction web app. The core machine learning models (Random Forest, Logistic Regression, KNN) are built entirely from scratch using mathematical principles in NumPy, without relying on scikit-learn.

A comprehensive, hand-coded survival guide to Artificial Intelligence and Machine Learning fundamentals. Features step-by-step mathematical derivations, algorithmic implementations from scratch (A* Search, Genetic Algorithms, Minimax, Naive Bayes, Gradient Descent), and structured academic resource roadmaps for developers and students.