Course projects and notes from the Stanford Coursera Machine Learning MOOC
- ex1 - Linear Regression
- ex2 - Logistic Regression
- ex3 - Multi-class Classification and Neural Networks
- ex4 - Neural Networks Learning
- ex5 - Regularized Linear Regression and Bias vs. Variance
- ex6 - Support Vector Machines
- ex7 - K-means Clustering and Principal Component Analysis
- ex8 - Anomaly Detection and Recommender Systems