- Korea Univ. / Statistical Machine Learning / STAT424 / 2021 Fall
- Tabular Data Analysis using Python (Scikit-Learn (Mainly), Numpy, Pandas, Matplotlib, Plotly, etc...)
- Book
- Lecture by Prof. Yousung Park, Department of Statistics, Korea University
| Chapter | Contents |
|---|---|
| 1 | Machine Learning |
| 2 | Data Preprocessing Optimization |
| 3 | Data Visualization |
| 4 | K-Nearest Neighbor |
| 5 | Logistic Regression |
| 6 | Discriminant Analysis Naive Bayes |
| 7 | CART (Classification and Regression Tree) |
| 8 | Support Vector Machine (SVM) |
| 9 | Dimensionality Reduction |
| 10 | Cross-Validation |
| 11 | Regression |
| 13 | Clustering |
| 15 | Ensemble Learning XGBoost, LightGBM, and CatBoost |
| 16 | Ensemble Learning Bagging, Boosting |
| 17 | Ensemble Learning Hyperparameter Tuning of XGBoost, LightGBM, and CatBoost |
| 18 | Meta Model Model Automation |
| Final Project | Predict the transfer fees of soccer players using Ensemble Learning based on FIFA Data (Used XGBoost, LightGBM, and CatBoost) |