| No. | date | topics | suggested problems (SP) | notes | code | quiz problem (QP) | |
|---|---|---|---|---|---|---|---|
| 1 | R 8-29 | introduction | notes | ||||
| 2 | T 9-3 | statistical learning | SP1 | notes | .ipynb | QP 1 due Sept 10 | |
| 3 | R 9-5 | linear regression | notes | ||||
| 4 | T 9-10 | KNN | SP2 | notes | .ipynb .ipynb | QP 2 due Sept 17 | |
| 5 | R 9-12 | evaluation | — | notes | |||
| 6 | T 9-17 | bias-variance tradeoff | SP3 | notes | .ipynb | QP 3 due Sept 26 | |
| 7 | R 9-19 | KNN and linear class | notes | .ipynb | |||
| 8 | T 9-24 | LDA and QDA | — | notes | .ipynb | ||
| 9 | R 9-26 | logistic regression | SP4 | notes | .ipynb | QP 4 due Oct 3 | |
| 10 | T 10-1 | variable selection | — | notes | .ipynb | ||
| 11 | R 10-3 | ridge regression | SP5 | notes | .ipynb .ipynb | QP 5 due Oct 15 | |
| 12 | T 10-8 | LASSO | notes | .ipynb .ipynb | |||
| . | R 10-10 | fall break (no classes) | |||||
| 13 | T 10-15 | unsupervised learning | notes | ipynb ipynb | QP6 due Oct 22 | ||
| . | R 10-17 | midterm | |||||
| 14 | T 10-22 | PCA | SP6 | notes | .ipynb | QP7 due Oct 29 | |
| 15 | R 10-24 | PCR and k-means | — | notes | .ipynb | ||
| 16 | T 10-29 | hierarchical clustering | – | notes | .ipynb | QP8 due Nov 5 | |
| 17 | R 10-31 | trees | — | notes | .ipynb | ||
| . | T 11-5 | Election Day (no classes) | |||||
| 18 | R 11-7 | bagging | SP7 | notes | .ipynb | ||
| 19 | T 11-12 | random forests | — | notes | .ipynb | QP9 due Nov 19 | |
| 20 | R 11-14 | boosting | SP8 | notes | .ipynb | ||
| 21 | T 11-19 | more boosting | — | notes | .ipynb | ||
| 22 | R 11-21 | NNs | — | notes | |||
| 23 | T 11-26 | more NNs | — | notes | |||
| 23 | R 11-30 | thanksgiving (no classes) | — | — | |||
| 24 | T 12-5 | presentations | — | — | — | — | |
| 25 | T 12-R | presentations | — | — | — | — | — |