Course material for Machine learning and Data mining (in French)
- Introduction to Machine Learning slides
- Alphabet frequencies, text vectorization and document similarity
- Supervised learning
- K-Nearest Neighbours Regression Slides,
- K-Nearest Neighbours Classification Slides
- Linear Regression
- Decision tree Classifiers Slides
- Unsupervised Learning
- Clustering and Density estimation
- Singular Value Decomposition (SVD) Slides
- Dimensionality reduction with PCA Slides
- Recommendation systems and Collaborative Filtering with SVD Slides
- Recommendations with k-nearest neighbours Slides
Parts of the course were inspired from M. Kellers course on ML at Lille 3 and Workshop