Material from the Machine Learning course by Andrew Ng (Stanford - Coursera)

The code is implemented in Matlab and the content of each folder is displayed below as follows:

1. Week 2: Linear Regression
2. Week 3: Logistic Regression
3. Week 4: Multi-class Classification and Neural Networks
4. Week 5: Neural Networks Learning
5. Week 6: Regularized Linear Regression and Bias v.s. Variance
6. Week 7: Support Vector Machine
7. Week 8: K-means Clustering and Principal Component Analysis
8. Week 9: Anomaly Detection and Recommender System