epfml/ML_course
EPFL's Fall 2025 machine learning course covering fundamental ML concepts through lectures, labs and hands-on projects.
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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.
Frequently asked
- What is epfml/ML_course?
- EPFL's Fall 2025 machine learning course covering fundamental ML concepts through lectures, labs and hands-on projects.
- Is ML_course open source?
- Yes — epfml/ML_course is an open-source project tracked on heatdrop.
- What language is ML_course written in?
- epfml/ML_course is primarily written in Jupyter Notebook.
- How popular is ML_course?
- epfml/ML_course has 2k stars on GitHub.
- Where can I find ML_course?
- epfml/ML_course is on GitHub at https://github.com/epfml/ML_course.