This contains all the course work done for Machine Learning course offered by Coursera in collaboration with Stanford University.
1. Linear Regression
2. Multivariate Linear Regression
3. Logistic Regression
4. Neural Network - Basics
5. Support Vector Machines
6. K-Means Clustering
7. Dimensionality Reduction - Principal Components Analysis
8. Anomaly Detection - using Gaussian Distribution
9. Recommender Systems
etc..