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