Python implementation of the programming assignment from Machine Learning class on Coursera, which is originally implemented in Matlab/Octave.

• Exercise 1-1: Linear Regression

• Exercise 1-2: Linear Regression with Multiple Variables

• Exercise 2-1: Logistic Regression

• Exercise 2-2: Logistic Regression with Regularization

• Exercise 3-1: One-vs-all

• Exercise 3-2: Neural Networks

• Exercise 4: Neural Network Learning

• Exercise 5: Regularized Linear Regression and Bias-Variance

• Exercise 6-1: Support Vector Machines

• Exercise 6-2: Spam Classification with SVMs

• Exercise 7-1: K-Means Clustering

• Exercise 7-2: Principle Component Analysis

• Exercise 8-1: Anomaly Detection

• Exercise 8-2: Collaborative Filtering