This repository is a full-length machine learning tutorial built for Harvard University’s graduate course CS209/109. It walks learners through an entire ML pipeline including custom dataset creation, conventional algorithms, and deep learning. The tutorial was originally in Python/NumPy and has been rewritten in PyTorch by contributors. It targets students learning ML end-to-end rather than quick 30-minute introductions.