ISLR-python and ISL-python
The Python code for the "An Introduction to Statistical Learning" textbook (A) is complemented by solutions to its labs and exercises provided as Jupyter Notebooks (B).
About ISLR-python
JWarmenhoven/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
This project provides Python code examples that replicate the statistical learning methods demonstrated in the 'An Introduction to Statistical Learning' textbook. It takes raw datasets and applies various machine learning techniques, showing the steps and resulting models. Anyone learning or teaching statistical modeling and machine learning concepts will find these examples useful.
About ISL-python
a-martyn/ISL-python
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
This resource provides practical Python-based solutions for understanding and applying core statistical learning concepts from the textbook "An Introduction to Statistical Learning." It takes the theoretical exercises and labs from the book and translates them into executable Python code, complete with necessary datasets. It's designed for students or practitioners looking to deepen their grasp of statistical modeling.
Scores updated daily from GitHub, PyPI, and npm data. How scores work