Regression II
Week 03, Fall 2023
- Start: Monday, September 4
- End: Friday, September 8
Summary
This week we will continue discussing the supervised learning regression task. This week we will introduce a new nonparametric method, decision trees. We’ll also begin dealing with regression problems that include several feature variables.
Learning Objectives
After completing this week, you are expected to be able to:
- Use decision trees to make predictions for pre-processed data.
- Use linear models, k-nearest neighbors, and decision trees for regression tasks with multiple features.
Reading
| Link | Source |
|---|---|
| Week 03 Concept Scribbles | Course Website |
| Week 03 Notebook [ Rendered Notebook ] | Course Website |
Video
Head to ClassTranscribe to watch lecture recordings. They are arranged by date in the Lecture Capture Recordings playlist.
Assignments
| Assignment | Deadline | Credit |
|---|---|---|
| Lab 02 [ Template ] | Thursday, September 14 | 100% |
| Homework 02 | Thursday, September 14 | 105% |
Office Hours
| Staff | Day | Time | Location |
|---|---|---|---|
| David | Wednesday | 5:00 PM - 6:00 PM | Zoom |
| Lahari | Wednesday | 4:00 PM - 5:00 PM | 0228 Siebel Center (Basement) [ Queue ] |
| Eunice | Thursday | 3:00 PM - 4:00 PM | 0228 Siebel Center (Basement) [ Queue ] |