Classification III

Week 10, Fall 2023

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 ]