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 |
|---|---|---|
| 🐍 Python | 📈 Linear Regression | 🎛 Dense Neural Networks |
| 🔢 NumPy | 🛠 Neural Networks Tuning | |
| 🐼 Pandas | 🖼️ Convolutional Neural Networks (CNN) | |
| 📊 Matplotlib |
- 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.