Documenting my study of" An Introduction to Statistical Learning with Python " book - theory, code, exercises, notes and my progress all the way through
About this project
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 [x] Chapter 1: Introduction — 05/19 [x] Chapter 2: Statistical Learning — 05/23 [x] Chapter 3: Linear Regression — 06/05 [x] Chapter 4: Classification — 07/08 [x] Chapter 5: Resampling Methods — 07/24 [x] Chapter 6: Linear Model Selection & Regularization — 08/26 [x] 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
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