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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)

Week 6 - Ensemble Methods

Week 7 - Support Vector Machine -SVM

Week 8 - Subspace models (PCA)

Week 9 - Clustering

Week 10 - Artificial Neural Networks (ANNs)

Week 11 - Decomposition methods for unsupervised learning

Week 12 - Multiway Models

Exam Sets