Machine Learning: Basic Course and Intense Study Group

Contribution List

1. Welcome and Introduction to the Course

11/03/2024, 09:00

ML lectures and exercises

2. Machine-Learning Concepts

11/03/2024, 09:30

ML lectures and exercises

3. The predictive modelling pipeline I

11/03/2024, 11:00

ML lectures and exercises

4. The predictive modeling pipeline II

11/03/2024, 13:30

ML lectures and exercises

5. Selecting the best model

11/03/2024, 15:30

ML lectures and exercises

6. Hyperparameter tuning

12/03/2024, 09:00

ML lectures and exercises

7. Linear models I

12/03/2024, 11:00

ML lectures and exercises

8. Linear models II

12/03/2024, 13:30

ML lectures and exercises

9. Decision tree models

12/03/2024, 15:30

ML lectures and exercises

10. Ensemble of models I

13/03/2024, 09:00

ML lectures and exercises

11. Ensemble of models II

13/03/2024, 11:00

ML lectures and exercises

12. Evaluating model performance I

13/03/2024, 13:30

ML lectures and exercises

13. Evaluating model performance II

13/03/2024, 15:30

ML lectures and exercises

14. Concluding remarks

13/03/2024, 16:30

ML lectures and exercises