This repository contains the complete materials for EPFL’s CS-433 machine learning course, including lecture notes, lab assignments, project templates and solutions. The course covers standard ML topics including neural networks, CNNs, RNNs and transformers through Jupyter notebooks and code implementations. Students access lecture videos via mediaspace and can interact through a discussion forum or GitHub issues and pull requests.