| Assignment | Contents | Description |
|---|---|---|
| Assignment1 | K-Neareast Neighbors | Classification with k-NN tuning |
| Assignment2 | Comparison of Supervised Learning Algorithms | K-Nearest Neighbors |
| Decision Tree | ||
| Random Forest | ||
| Support Vector Machine | ||
| MultiLayer Perception | ||
| Assignment3 | Neural Network | Hyperparameter Tuning for Neural Networks |
| Assignment4 | PCA & tSNE | Data Visualization |
| Assignment5 | Feature Engineering | Binning, Polynomials&Interactions, Feature Selection, etc. |
| Assignment6 | AutoML | Construct AutoML Pipeling & Search Space |