Python workbook and notes based on "An Introduction to Statistical Learning with Applications in Python" by James, Witten, Hastie, Tibshirani, and Taylor.
Chapters 2 & 3: Statistical Learning & Linear Regression
Chapters 4 & 5: Classification & Resampling
Chapters 6 & 7: Model Selection & Moving Beyond Linearity
Chapters 8 & 9: Tree Methods & SVM
Chapters 10-13 pending kek...