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ISLR Reading Notes

Introduction to Statistical Learning with R

This is a tentative plan for how to read, study, and learn from the book An Introduction to Statistical Learning. We will divide up chapters to present. Notes to come!

Schedule

Date Topic Presenter Link to notes
2021-04-15 Chapter 1: Introduction Francisco TBD
2021-04-15 Chapter 2: Statistical Learning Francisco TBD
Chapter 3: Linear Regression TBD TBD
Chapter 4: Classification TBD TBD
Chapter 5: Resampling Methods TBD TBD
Chapter 6: Linear Model Selection and Regularization TBD TBD
Chapter 7: Moving Beyond Linearity TBD TBD
Chapter 8: Tree-Based Methods TBD TBD
Chapter 9: Support Vector Machines TBD TBD
Chapter 10: Unsupervised Learning TBD TBD

Other Resources: https://tdg5.github.io/stats-learning-notes/

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