###Stanford Machine Learning Nov 2015 - Feb 2016
course webpage
These are the code for programming exercises of the course.
They are written for Matlab, also can run in Octave.
Algorithms for the programming exercises include:
- Week 2 - Linear Regression
- Week 3 - Logistic Regression
- Week 4 - Multi-class Classification and Neural Networks
- Week 5 - Neural Network Learning
- Week 6 - Regularized Linear Regression and Bias/Variance
- Week 7 - Support Vector Machines
- Week 8 - K-Means Clustering and PCA
- Week 9 - Anomaly Detection and Recommender Systems