Day 1:  Introduction to Python, Statistical Learning / Linear in Parameters Models

Day 2:  Classification / Clustering  / Resampling

Day 3:  Regularization & Shrinking / Nonlinear Models

Day 4:  Trees / Bagging / Boosting / Gradient Boosting / Support Vector Machines

Day 5:  Neural Nets / Convolutional Neural Nets / Deep Learning