Classification III
Week 10, Fall 2023
- Start: Monday, October 23
- End: Friday, October 27
Summary
This week will introduce generative models for classification, with an emphasis on Naive Bayes. Additionally, we will discussion the classification task in general, focusing on model tuning, especially for models you may not be familiar with.
Learning Objectives
After completing this week, you are expected to be able to:
- Understand the difference between discriminative and generative models.
- Use Naive Bayes models for the classification task.
- Use
sklearn
pipelines, transformers, and grid search to tune previously unseen classification methods.
Reading
Link | Source |
---|---|
Week 10 Concept Scribbles | Course Website |
Week 10 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 |
---|---|---|
Homework 07 | Thursday, November 2 | 105% |
Lab 07 [ Template ] | Thursday, November 2 | 100% / 105% |
Office Hours
Staff | Day | Time | Location |
---|---|---|---|
David | Monday | 11:00 AM - 12:00 PM | 2328 Siebel Center |
Lahari | Wednesday | 4:00 PM - 5:00 PM | Siebel Center, Second Floor [ Queue ] |
David | Wednesday | 5:00 PM - 6:00 PM | Zoom |
Eunice | Thursday | 3:00 PM - 4:00 PM | Siebel Center, Second Floor [ Queue ] |