| 1 |
1. Simple Linear Regression and Correlation, OLS method
2. Multiple Regression and Correlation
3. Tests of OLS assumptions, remedial measures
4. Stepwise, Lasso and Ridge Regressions
5. Logistic regression, multinomial regression A.
6. Factor Analysis
7. Cluster A., k-means and hierarchical clustering methods
8. Discriminant A.
9. Canonical correlation A.
10. Decision Trees,
11. kNN, SVM, Bagging and Boosting algorithms
12. Neural Networks |