Schedule
This schedule should be considered tentative, at least until it actually takes place! Consult the course staff in advance if needed.
Spring 2025
Date | Lecture Title | Lecture Slides | Demos | Assignments |
---|---|---|---|---|
02/03/25 | Lecture 1: Intro |
Slides
|
Demo |
A1 A1 (solution) |
02/10/25 | Lecture 2: Data Manipulation |
Slides
|
Demo Demo (filled) |
A2 A2 (data) |
03/24/25 | Lecture 3: Data Visualization |
Slides
|
Demo Demo (filled) |
A3 A3 (data) |
03/03/25 | Lecture 4: Elements of Machine Learning Pt. I |
Slides
|
Demo Demo (filled) |
A4 A4 (data) |
03/10/25 | Web Scraping Workshop |
Slides
|
- | - |
03/10/25 | Lecture 5: Elements of Machine Learning Pt. II |
Slides
|
- | - |
03/17/25 | Lecture 6: Introduction to Classifiers |
Slides
|
Demo Demo (filled) |
A6 A6 (data) |
03/24/25 | Lecture 7: Supervised Learning Pt. I |
Slides
|
Demo |
A7 A7 (data) |
04/07/25 | Lecture 8: Supervised Learning Pt. II |
Slides
|
Demo Demo (filled) Demo (data) |
A8 A8 (data) |
04/14/25 | Lecture 9: Unsupervised Learning | - | - | - |
04/21/25 | Lecture 10: Data Science and ML in the World | - | - | - |
TBD | Deep Learning Workshop | - | - | - |
04/28/25 | Final Project Due | - | - | - |