0xHadyy/isl-python
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 a personal learning journey through "An Introduction to Statistical Learning with Python." It provides code examples, notes, and exercises covering key statistical learning concepts. This resource is for anyone studying statistical learning and machine learning, particularly those following the ISL textbook.
231 stars.
Use this if you are independently studying the 'An Introduction to Statistical Learning' textbook and want to see practical Python implementations and supplementary notes.
Not ideal if you are looking for a ready-to-use software library or a complete, standalone course on statistical learning.
Stars
231
Forks
23
Language
Jupyter Notebook
License
—
Category
Last pushed
Feb 14, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/0xHadyy/isl-python"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
uxlfoundation/scikit-learn-intelex
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
INRIA/scikit-learn-mooc
Machine learning in Python with scikit-learn MOOC
ddbourgin/numpy-ml
Machine learning, in numpy
nubank/fklearn
fklearn: Functional Machine Learning
gavinkhung/machine-learning-visualized
ML algorithms implemented and derived from first-principles in Jupyter Notebooks and NumPy