Table of Contents

1. Introduction to Machine Learning
2. Data Pre-processing
3. Supervised Learning: Regression
4. Supervised Learning: Classification
5. Unsupervised Learning: Clustering
6. Dimensionality Reduction and Feature Selection
7. Association Rule Mining
8. Artificial Neural Network
9. Reinforcement Learning
10. Project
Appendix
Bibliography