Week 9 - Classification and model building
Logistic regression for predicting categorical data and model building 🚧
Tasks
- Watch the videos
- Complete the assignments
- Complete the readings
Videos
You have two options for watching the course videos, on YouTube or on MediaHopper. You can also find a playlists for all course videos on YouTube here and on MediaHopper here.
No. |
Title |
YouTube |
MediaHopper |
Slides |
Length |
|---|---|---|---|---|---|
| 1 | Keeping up with IDS: Week 9 | 9:10 | |||
| 2 | Logistic regression | 19:29 | |||
| 3 | Prediction and overfitting | 28:22 | |||
| 4 | Feature engineering | 30:07 |
Assignments
Assignment |
Title |
Due |
|---|---|---|
| Due this week | ||
| Lab 06 | Course evaluations | Tue, 17 Nov, 16:00 UK |
| OQ 08 | Multiple regression | Sun, 22 Nov, 23:59 UK |
| Due next week | ||
| Lab 07 | Work on projects | Tue, 24 Nov, 16:00 UK |
| Feedback | Peer evaluation 03 (emailed via TEAMMATES) | Wed, 25 Nov, 16:00 UK |
| HW 04 | Potpourri | Tue, 26 Nov, 16:00 UK |
Readings
| 📖 | IMS: Chp 4.5 - Logistic regression | Required |
| 📄 | tidymodels: Build a model | Optional |
| 📄 | tidymodels: Preprocess your data with recipes | Optional |
Code-along
You can find starter code for this session on RStudio Cloud, in the project titled Code Along 09 - Hotel bookings.
| Recording | |
| Session artifacts | .Rmd .md |
Interactive R tutorials
No interactive R tutorials this week. Use the time to work on projects!
