Machine Learning Handbook
This repository contains Jupyter notebooks showcasing various ML and Deep Learning algorithms.
It is part of the Machine Learning course taught at the Graduate School of Cognitive Engineering (ENSC).
- Associated exercises can be found in the Machine Learning Katas repository.
- Course slides are only available in French for now. Désolé!
|Tools||Machine Learning||Deep Learning|
How to run the notebooks
- Launch an executable version of a notebook in Colaboratory (Google account needed) by opening it and clicking this button:
- Clone or download this repository and run a Jupyter notebook server on your local machine.