Machine Learning by Andrew NG

This contains all the course work done for Machine Learning course offered by Coursera in collaboration with Stanford University.

In this course material, you will find following algorithms coded in Matlab:

Supervised Learning:

1. Linear Regression 
2. Multivariate Linear Regression 
3. Logistic Regression 
4. Neural Network - Basics
5. Support Vector Machines

Unsupervised Learning:

6. K-Means Clustering 
7. Dimensionality Reduction - Principal Components Analysis
8. Anomaly Detection - using Gaussian Distribution 
9. Recommender Systems 
etc..

All the exercises are done in Matlab/Octave.