Course schedule
Week 1
| block | start | end | subject |
|---|---|---|---|
| May 11 | 10:15 AM | 11:45 AM | Getting familiar with scikit-learn |
| May 12 | 10:15 AM | 11:45 AM | Model selection and evaluation |
| May 13 | 10:15 AM | 11:45 AM | Unsupervised learning |
Week 2
| block | start | end | subject |
|---|---|---|---|
| May 18 | 10:15 AM | 11:45 AM | Trees and Ensemble Methods |
| May 19 | 10:15 AM | 11:45 AM | Optimization and neural networks |
| May 20 | 8:30 AM | 10:00 AM | Deep Learning with PyTorch |