Introduction to Statistical Learning with Python - Study Journey

This repository documents my personal learning journey studying "An Introduction to Statistical Learning" (ISL) + Advance Sections from (ESL), implemented using Python.

🧭 Roadmap

✅ Completed

• Chapter 1: Introduction — 05/19

• Chapter 2: Statistical Learning — 05/23

• Chapter 3: Linear Regression — 06/05

• Chapter 4: Classification — 07/08

• Chapter 5: Resampling Methods — 07/24

• Chapter 6: Linear Model Selection & Regularization — 08/26

• Chapter 7: Moving Beyond Linearity — 10/9

🔜 Upcoming

• Chapter 8: Tree-Based Methods

• Chapter 9: Support Vector Machines

• Chapter 10: Deep Learning

• Chapter 11: Survival Analysis & Censored Data

• Chapter 12: Unsupervised Learning

• Chapter 13: Multiple Testing

📌 Resources

• An Introduction to Statistical Learning(Free PDF)
• Mathematics for Machine Learning (Additional Derivations)
• My Studying Journey On YT