Exercises
Exercises for Chapters 1-10 (LMU Lecture I2ML):
| HTML | Jupyter | ||
|---|---|---|---|
| Exercise 1 | ML basics | Exercise, Solution | |
| Exercise 2 | Regression | R solution, Python solution | Exercise, Solution |
| Exercise 3 | Classification I | Exercise, Solution | |
| Exercise 4 | Classification II | R solution, Python solution | Exercise, Solution |
| Exercise 5 | Evaluation I | R solution, Python solution | Exercise, Solution |
| Exercise 6 | Evaluation II | R solution, Python solution | Exercise, Solution |
| Exercise 7 | Evaluation III | Exercise, Solution | |
| Exercise 8 | CART | R solution, Python solution | Exercise, Solution |
| Exercise 9 | Random forests | R solution, Python solution | Exercise, Solution |
| Exercise 10 | Neural networks | Exercise, Solution | |
| Exercise 11 | Tuning | R solution, Python solution | Exercise, Solution |
| Exercise 12 | Nested resampling | R solution, Python solution | Exercise, Solution |
Exercises for Chapters 11-19 (LMU Lecture SL):
Exercises for Chapters 20-23 (LMU Lecture AdvML):
| Exercise | Solution | |
|---|---|---|
| Exercise 1 | ||
| Exercise 2 | ||
| Exercise 3 | ||
| Exercise 4 | ||
| Exercise 5 |