hardikkamboj/An-Introduction-to-Statistical-Learning
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
If you're learning statistical modeling and machine learning concepts from the popular 'An Introduction to Statistical Learning' book, this project provides Python code for all the practical exercises. It takes the problem descriptions from the book and offers corresponding Python-based solutions. This is ideal for data science students, aspiring machine learning engineers, and researchers who are studying these topics using Python.
2,480 stars. No commits in the last 6 months.
Use this if you are working through the 'An Introduction to Statistical Learning' textbook and prefer to implement the exercises in Python rather than R.
Not ideal if you are looking for an R-based solution to the exercises or a project that focuses on advanced, specialized machine learning applications.
Stars
2,480
Forks
610
Language
Jupyter Notebook
License
—
Category
Last pushed
Sep 23, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/hardikkamboj/An-Introduction-to-Statistical-Learning"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
harvard-edge/cs249r_book
Machine Learning Systems
wx-chevalier/AI-Notes
:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics...
datawhalechina/key-book
《机器学习理论导引》(宝箱书)的证明、案例、概念补充与参考文献讲解。
rickiepark/handson-ml3
<핸즈온 머신러닝 3판>의 주피터 노트북 저장소
Ceyron/machine-learning-and-simulation
All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine...