The original course’s recommended and compulsory exercise PDFs, with the official solution proposals.
Recommended exercises
One per module. The solution PDFs are the official proposals from the course staff.
The R/Rmd PDFs are the originals. The [python] links open ISLP-style Python adaptations (statsmodels, scikit-learn, ISLP package, PyTorch + Lightning) rendered as wiki pages.
- Exercise 2: Statistical learning · problems [python] · solutions [python]
- Exercise 3: Linear regression · problems [python] · solutions [python]
- Exercise 4: Classification · problems [python] · solutions [python]
- Exercise 5: Resampling · problems [python] · solutions [python]
- Exercise 6: Model selection · problems [python] · solutions [python]
- Exercise 7: Beyond linearity · problems [python] · solutions [python]
- Exercise 8: Trees · problems [python] · solutions [python]
- Exercise 9: Boosting · problems [python] · solutions [python]
- Exercise 10: Unsupervised · problems [python] · solutions [python]
- Exercise 11: Neural networks · problems [python] · solutions [python]