All worked problem sets from Andrew Ng's Machine Learning Course on Coursera
ex2 - Logistic Regression
ex3 - Multi-Class Classification and Neural Networks
ex4 - Neural Networks Learning
ex5 - Regularized Linear Regression and Bias vs Variance
ex6 - Support Vector Machines (SVM)
ex7 - K-means Clustering and Principal Component Analysis