Week 1 - Ordinary Least Squares & Ridge Regression
Week 2 - Model Selection & Assessment
Week 3 - Sparse Regression
Week 4 - Linear and regularized classification
Week 5 - Classification and Regression Trees (CART)
Case 1
Week 6 - Ensemble Methods
Week 7 - Support Vector Machine -SVM
Week 8 - Subspace models
