Machine Learning

Class semester
1st semester
Class type
Mandatory
Instructors

Topics per week

1. Introduction

2. Regression

3. Decision Trees

4. Logistic Regression

5. Part 1: kNN & clustering
     Part 2: Evaluation & Performance measures

6. Applied Machine Learning I

7. Applied Machine Learning II

8. Support Vector Machines

9. Naive Bayes

10. Ensembles

11. Feature Selection and Dimensionality Reduction

12. Dimensionality Reduction and Gradient Descent

13. Sampling