Fundamental Machine Learning Algorithms Implemented from Scratch in Python

✨ TL;DR

A from-scratch NumPy implementation of 20+ ML algorithms with runnable example scripts.

Polynomial regression example achieves Mean Squared Error of ~0.4 after 3000 gradient descent iterations on a sinusoidal synthetic dataset. Decision tree reaches accuracy 95.5% on Iris. k-NN reaches accuracy 99% on Iris.

✨ Generated by Claude · Apr 25, 2026 ·  Read the PDF for authoritative content.