An Introduction to Statistical Learning - Attempted Solutions

My attempt at compiling solutions to the exercises in the book An Introduction to Statistical Learning with R (G James, D Witten, T Hastie, R Tibshirani). Solutions have been compiled based on my own understanding of the topics and drawing inspiration and understanding (in a few cases, borrowing) from the solutions posted by a few other people online.

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Chapter 2 - Statistical Learning

• Conceptual
  2.01-07 : [github , nbviewer]

• Applied
  2.08 - College : [Python, R]
  2.09 - Auto : [Python, R]
  2.10 - Boston : [Python, R]

Chapter 3 - Linear Regression

• Conceptual
  3.01-07 : [Python]

• Applied
  3.08-09 - Auto : [Python]
  3.10 - Carseats : [Python]
  3.11-12 - SLR without Intercept [Python]
  3.13 - Polynomial Regression [Python]
  3.14 - Collinearity [Python]
  3.15 - Boston [Python]