Week 01: Introduction, Review & Feature Selection

Complete the Class Survey before 11:59pm on Tuesday

Class Survey dataset is available here

Tuesday
PPT: Introduction

Complete before next class
Skim through ISLR2 Chapters 1-5, if you have not read the book previously!
A Visual Introduction to Linear Regression (Machine Learning University by Amazon)
Seeing Theory - See Chapters on Regression, Variance, ANOVA, Probabilities, etc, for a visual and interactive review
The Importance of Data Splitting (Machine Learning University by Amazon)
The Bias Variance Tradeoff (Machine Learning University by Amazon)

Optional
RTutor: Refresh your R skills using AI!
ML comic strip (Google Cloud)

Thursday

Complete before next class
ISLR2 Chapter 6.1: Subset Selection
ISLR2 Chapter 6.2: Shrinkage Methods
A Visual Introduction to Logistic Regression (Machine Learning University by Amazon)

*If you're checking your work against solutions posted by the authors, you might get slightly different numbers, because you're using a newer version of R.