Here you can find my solutions to the Programming Exercises for the online Stanford Machine learning course (http://www.ml-class.org)
* CS229 Machine Learning - Lecture Notes/
Additional lecture notes from the on-campus CS229 course. Useful as extra references.
* Linear regresssion with one/multi variables
linear-regression/mlclass-ex1
* Classification using logistic regression logistic-regression/mlclass-ex2
* Multi-class classification and neural networks
neural-network/mlclass-ex3
* Neural network learning
neural-network/mlclass-ex4
* Regularized linear regression and bias-variance
linear-regression/mlclass-ex5
* Support Vector Machines
support-vector-machine/mlclass-ex6
* K-Means Clustering and PCA
k_means-pca/mlclass-ex7
* Anomaly Detection and Recommender Systems
anomaly_det-recommender/mlclass-ex8