Here are the programming exercises done by myself in the machine learning class of Stanford university on Coursera. All codes are written with Octave/Matlab.
- ex1: Linear Regression
- ex2: Logistic Regression
- ex3: Multi-class Classification and Neural Networks
- ex4: Neural Networks Learning
- ex5: Regularized Linear Regression and Bias v.s. Variance
- ex6: Support Vector Machines
- ex7: K-means Clustering and Principal Component Analysis
- ex8: Anomaly Detection and Recommender System
- doc/slides: The slides used in this class