Schedule
Week 1
- March 30
- April 1
- Topics: solution to optional homework, functions, variable assignment, data types, .R files, submitting homework
- Active Lecture: Zoom Recording
- Lecture 2 code (probably not useful to you, but here if you need it)
- Homework 1 Graded
Week 2
Week 3
Week 4
Week 5
Week 6
Week 7
- May 11
- Topics: Cross-Validation, Binary Prediction with Logistic Regression
- Recorded Lecture (skip from minute 32 to minute 42). Lecture code was slightly wrong but the posted version has been fixed. Look at posted code and make sure you understand the idea of repeating the train/test split and the variation of the predictions across those splits): Zoom Cloud Recording, YouTube
- Lecture 13 code, Lecture Slides, Congressional voting data
- No completion HW this week
- May 13
Week 8
- May 18
- May 20
Week 9
- May 27
Week 10
- June 1
- June 3
- Algorithmic Fairness and Discrimination, continued
- Recorded Lecture: Zoom Cloud Recording, YouTube
- Same lecture code and slides as Monday.
- No graded homework this week.
- Homework 9 Graded solution key: .RMD, HTML