Week 9 - Classification and model building
Logistic regression for predicting categorical data and model building 🚧
Painted wall. Photo by Deepak Verma on Unsplash
Tasks
- Watch the videos
- Complete the assignments
- Complete the readings
Videos
You can access the course videos on YouTube. You can also find a playlists for all course videos on YouTube here.
No. |
Title |
YouTube |
Slides |
Length |
|
|---|---|---|---|---|---|
| 1 | Logistic regression | 19:29 | |||
| 2 | Prediction and overfitting | 28:22 | |||
| 3 | Feature engineering | 30:07 |
Class Activities
Activity |
Title |
Date |
|---|---|---|
| Project | Project Time | Tue, 22 Mar |
| Break | No Class! | Thu, 24 Mar |
Assignments
Assignment |
Title |
Due |
|---|---|---|
| Due this week | ||
| Q 08 | Multiple regression | Sun, 27 Mar, 23:59 EST |
| Due next week | ||
| Project | Draft Presentation | Mon, 28 Mar |
| OQ 09 | Modeling overview | Sun, 3 Apr, 23:59 EST |
| HW 07 | Bike rentals DC | Wed, 6 Apr, 23:59 EST |
Readings
| 📖 | IMS: Chp 9 - Logistic regression | Required |
| 📄 | tidymodels: Build a model | Optional |
| 📄 | tidymodels: Preprocess your data with recipes | Optional |
Project Work
This week we will work on projects on Tuesday.
