Suraj Rampure

Resources for Data 100

Note, these are all resources I created as a TA for Data 100. Content I created as an instructor can be found on the official course website.

Guest Lectures

• Fall 2019 Lecture 20 (Logistic Regression, Cross Entropy Loss, Classification)
  • slides, webcast (Berkeley only)

Videos These can all be found on the Data 100 YouTube channel.

• Fall 2019 Discussion Walkthroughs
  • Discussion 2, Discussion 3, Discussion 5, Discussion 6, Discussion 9, Discussion 11
• Spring 2019 Discussion Walkthroughs
  • Discussion 6, Discussion 7, Discussion 8, Discussion 9, Discussion 12
• Exam Walkthroughs
  • Fall 2017 Midterm, Spring 2018 Final, Spring 2019 Midterm 1, Spring 2019 Midterm 2, Summer 2019 Midterm

Notes, Demos, and Review Sessions

• Note: Connections between different approaches to linear regression
• Note: Derivation of the Sigmoid Function
• Note: Eigenvalues vs. Singular Values
• Note: Parameters Diverging to Infinity in Logistic Regression
• Demo: Kernel Density Estimation (raw)
• Demo: Merging in Pandas (raw)
• Demo: Principal Components Analysis (raw)
• Demo: Transformations (raw)
• Review Session: Midterm 2, Spring 2019
• Review Session: Loss and Risk, Midterm 1, Fall 2019
• Review Session: Logistic Regression and Classification, Final Exam, Fall 2019

Discussion Slides and Worksheets

Spring 2020:

• Week 1 slides, marked-up worksheet
• Week 2 slides, marked-up worksheet
• Week 5 marked-up worksheet
• Week 6 slides, marked-up worksheet, notebook
• Week 7 slides, marked-up worksheet
• Week 8 slides, marked-up worksheet
• Week 10 slides, marked-up worksheet
• Week 13 slides, marked-up worksheet

Fall 2019:

• Week 2 slides, marked-up worksheet
• Week 3 slides, marked-up worksheet
• Week 5 marked-up worksheet
• Week 8 slides
• Week 9 slides, marked-up worksheet
• Week 10 slides
• Week 11 slides, marked-up worksheet
• Week 13 slides
• Week 15 slides, marked-up worksheet