| Assignment | Description | Due Date | Value | Solutions |
|---|---|---|---|---|
| 0 (HW0) | Optional Data Camp assignments. Register for our course on Data Camp at this link, and complete the assignment there: https://www.datacamp.com/groups/shared_links/05f4cfe1a97b39e7a1ec3c1515946eb67771d605 If you are already comfortable with R, you don’t need to do this. |
N/A | 0 (optional) | N/A |
| 1 (HW1) | Prerequisites and day 1. This is just to make sure you feel comfortable with the foundations. You should have received an invitation to a GitHub repository with the assignment. Let me know if not. | Sept. 13 | 1 | https://github.com/mhc-stat340-f2019-sec01/HW1-solutions.git |
| 2 (HW2) | Linear Algebra view of linear regression models. | Sept. 20 | 1 | https://github.com/mhc-stat340-f2019-sec01/HW2-solutions.git |
| 3 (HW3) | Cross-validation, transformations, and issues with model specification and multiple comparisons. | Oct. 5 | 1 | https://github.com/mhc-stat340-f2019-sec01/HW3-solutions.git |
| 4 (HW4) | K nearest neighbors. | Oct. 19 | 1 | https://github.com/mhc-stat340-f2019-sec01/HW4-solutions.git |
| 5 (HW5) | Logistic Regression. | Oct. 30 | 1 | https://github.com/mhc-stat340-f2019-sec01/HW5-solutions.git |
| 6 (HW6) | Penalized estimation and trees. | Nov. 6 | 1 | https://github.com/mhc-stat340-f2019-sec01/HW6-solutions.git |
| 7 (HW7) | Stacked ensembles and random forests. | Nov. 15 | 1 | Will be posted later |