We will not cover ISLR Chapter 3: Linear Regression in much detail, as that is one of the main topics in 456. This however is a GREAT chapter to read for a different perspective/approach to regression. ⭐ ⭐⭐⭐⭐. Highly recommend.

[Full YouTube playlist]

Learning Path

Where we’ve been

Where we’re at

Where we’re going

Learning Objectives


  • Reading discussion: Engineered Inequity
  • Open work day

Thursday (class cancelled)

  • Project client share out. Prepare a 10 minute presentation to the class and your client on the status of your project.


Learning Tidymodels

Create a new Rmarkdown file and walk through Tidymodels tutorial Preprocessing your data with recipies

Don’t just copypasta the tutorial. This is your learning & practice notes file. Write notes to yourself on what you are doing and why.

Write a Regression tutorial

Leverage your knowledge of linear models and write a tutorial on how to fit a regression model in the Tidy models framework. The data and model you fit is your choice.

Ref: ISLR Tidymodels lab for Chapter 3.

Post your tutorial URL in Discord.

Peer review

You then are asked to review another classmates tutorial and provide comments & feedback in Discord. Is there something that isn’t clear? Did you spot a mistake they can fix? What did you find helpful & useful about their tutorial (be specific).

Do this as a reply to their tutorial URL post so your replies are easy to find.