Machine Learning M2

Practical sessions from the course Machine Learning under the supervision of Aurélie Fischer (LPSM P7). We went through the following topics :

• PCA
• Linear Regression
• ANOVA
• Hierarchical clustering
• K-MEANS
• Gaussian Mixture
• Linear Discriminant analysis
• Logistic Regression
• Bagging & Random Forest
• Boosting
• Neural Network