A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
☆917Jul 18, 2021Updated 4 years ago
Alternatives and similar repositories for The-Elements-of-Statistical-Learning-Python-Notebooks
Users that are interested in The-Elements-of-Statistical-Learning-Python-Notebooks are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆425Feb 10, 2026Updated 2 months ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆296May 5, 2018Updated 7 years ago
- An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code☆4,395Oct 27, 2022Updated 3 years ago
- The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。☆2,725Dec 30, 2025Updated 3 months ago
- This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.☆2,483Sep 23, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- This repository contains R code for exercices and plots in the famous book.☆46Sep 29, 2023Updated 2 years ago
- My solutions to problems of The Elements of Statistical Learning by Profs. Hastie, Tibshirani, and Friedman.☆91Apr 2, 2019Updated 7 years ago
- Documenting my progress as I work through The Elements of Statistical Learning book by T. Hastie, R. Tibshirani, and J. Friedman☆63May 13, 2020Updated 5 years ago
- Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.☆351Jul 20, 2024Updated last year
- Summary notes and examples for every chapter in the popular textbook "The Elements of Statistical Learning" .☆43Aug 24, 2021Updated 4 years ago
- Notes from the book 'The Elements of Statistical Learning'☆21Jun 20, 2025Updated 9 months ago
- Python code for "Probabilistic Machine learning" book by Kevin Murphy☆7,051Feb 26, 2026Updated last month
- Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code☆686Aug 13, 2021Updated 4 years ago
- ☆90Aug 30, 2019Updated 6 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)☆289Nov 10, 2013Updated 12 years ago
- Content for ML REPA MeetUps☆30Jan 27, 2020Updated 6 years ago
- A structured collection of notes (mostly, on machine learning) and a Flask app for reading and searching them.☆95Aug 21, 2025Updated 7 months ago
- Baseline for Rosbank boosters☆17May 29, 2018Updated 7 years ago
- Studying notes of ISLR, ESL, and other Machine Learning books. Check a more user friendly version on my personal website https://nancyyan…☆14Sep 11, 2020Updated 5 years ago
- "Probabilistic Machine Learning" - a book series by Kevin Murphy☆5,544Dec 10, 2025Updated 4 months ago
- ☆285Nov 20, 2022Updated 3 years ago
- An Introduction to Statistical Learning with Applications in PYTHON☆559Jan 3, 2022Updated 4 years ago
- Data science interview questions and answers☆9,880Feb 19, 2026Updated last month
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.☆188Jul 23, 2024Updated last year
- Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"☆796Nov 12, 2022Updated 3 years ago
- Companion webpage to the book "Mathematics For Machine Learning"☆15,317Mar 13, 2025Updated last year
- NYU Deep Learning Spring 2020☆6,797Jun 16, 2025Updated 9 months ago
- aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firs…☆28,427Jun 25, 2024Updated last year
- This is a repository of scripts developed as part of the 2020 ENCMP100 Section B3 lecture taught at University of Alberta.☆10Apr 2, 2020Updated 6 years ago
- Bayesian Data Analysis demos for Python☆1,040Sep 19, 2025Updated 6 months ago
- Text and code for the second edition of Think Bayes, by Allen Downey.☆2,024Jan 12, 2026Updated 3 months ago
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.☆29,917Mar 19, 2026Updated 3 weeks ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop☆2,574Jul 25, 2022Updated 3 years ago
- ☆110Aug 19, 2021Updated 4 years ago
- A library helping to gather stats and run checks during training deep learning models with Pytorch☆35Mar 6, 2022Updated 4 years ago
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dm…☆10,329Apr 15, 2023Updated 2 years ago
- ☆32Nov 3, 2019Updated 6 years ago
- IPython Interactive Computing and Visualization Cookbook – Second Edition, published by Packt☆18Jan 14, 2021Updated 5 years ago
- Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography☆43Aug 30, 2019Updated 6 years ago