Teaching (2022 - 2023)
- Master 1: Agility
- Lecture: PDF file
- Pratical works:
- Project: final project (available later…)
- Master 1: Machine learning
- Lecture: PDF file
- Tutorials:
- TD1: Decision tree
- TD2: Perceptron (available later…)
- Pratical works:
- TP0: Python for ML introduction
- TP1: Linear and Polynomial regression
- TP2: KNN
- TP3: K-means
- TP4: Upper Confidence Bound
- TP5: Q-learning (available later…)
- TP6: Neural Network (available later…)
- TP8: Convolutional Neural Network (planned but TBC)
- Projects:
- Intermediate: supervised learning
- Final project: advanced ML problem (available later…)
- Other resources:
- Configure Python: virtual environment
- Python: OOP and library main concepts