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0xHadyy / repository
Documenting my study of" An Introduction to Statistical Learning with Python " book - theory, code, exercises, notes and my progress all the way through
This repository documents my personal learning journey studying "An Introduction to Statistical Learning" (ISL) + Advance Sections from (ESL), implemented using Python.
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
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