Statistical Machine Learning
- 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) |