ISLP: Introduction to Statistical Learning in Python

Environment Setup

Using Conda (recommended):

conda env create -f environment.yml
conda activate islp-env
pip install ISLP

Using pip:

### Using pip:
pip install -r requirements.txt

Table of Contents

Answers to select exercises from Introduction to Statistical Learning in Python.

• Chapter 1: Introduction
  • read
  • problems
• Chapter 2: Statistical Learning
  • read
  • lab
  • problems
• Chapter 3: Linear Regression
  • read
  • lab
  • problems
• Chapter 4: Classification
  • read
  • lab
  • problems
• Chapter 5: Resampling Methods
• Chapter 6: Linear Model Selection and Regularization
• Chapter 7: Moving Beyond Linearity
• Chapter 8: Tree-Based Methods
• Chapter 9: Support Vector Machines
• Chapter 10: Deep Learning
• Chapter 11: Survival Analysis and Censored Data
• Chapter 12: Unsupervised Learning
• Chapter 13: Multiple Testing

Problem Selection

Selected problems were chosen using Claude prompted to find relevant problems for a software engineer learning machine learning.