ISL-Python

This repository contains the solutions to the exercises proposed in

'An Introduction to Statistical Learning with Applications in R' (ISLR) by James, Witten, Hastie and Tibshirani.

Credits and References:

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
Chap 10 - Deep Learning		Chap 10 - Deep Learning
Chap 11 - Survival Analysis and Censored Data		Chap 11 - Survival Analysis and Censored Data
Chap 12 - Unsupervised Learning		Chap 12 - Unsupervised Learning
Chap 2 - Statistical Learning		Chap 2 - Statistical Learning
Chap 3 - Linear Regression		Chap 3 - Linear Regression
Chap 4 - Classification		Chap 4 - Classification
Chap 5 - Resampling Methods		Chap 5 - Resampling Methods
Chap 6 - Linear Model Selection and Regularization		Chap 6 - Linear Model Selection and Regularization
Chap 7 - Moving Beyond Linearity		Chap 7 - Moving Beyond Linearity
Chap 8 - Tree-based Methods		Chap 8 - Tree-based Methods
Chap 9 - Support Vector Machines		Chap 9 - Support Vector Machines
data		data
.DS_Store		.DS_Store
.gitattributes		.gitattributes
README.md		README.md