2. Python for ML, Notebook, Kaggle: download
3. Linear Regression : download
6. Neural Network: download
7. Introduction to Deep Learning: download
8. Clustering: download
9. Dimension Reduction and Feature Selection: download
10. Support Vector Machine: download
11. Decision Tree
Random Forest
14. Genetic Algorithm: download
15. K-nearest Neighbors
16. Rough Set Theory
17. Gaussian Mixture Model
Hidden Markov Model
18. Probabilistic Graphical Model
Bayesian Network
Markov Random Fields
19. Factor Analysis
20. Regularization Algorithms
21. Subspace Clustering
22. Sparse Representation
23. Low-Rank Matrix Decomposition
24. Convolutional neural network (CNN)
25. Long Short Term Memory (LSTM)
26. Generative Adversarial Networks (GANs)