As part of the ML course, 4 projects worth 30% of the final grade had to be handed in. The hard baseline was successfully passed for each task.
| Task | Description |
|---|---|
| Task 1a | Cross-validation and Ridge Regression |
| Task 1b | Linear Regression |
| Task 2 | Data Imputation and Kernelised Regression |
| Task 3 | Image Similarity and Transfer Learning |
| Task 4 | Transformers for NLP |