An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
☆4,406Oct 27, 2022Updated 3 years ago
Alternatives and similar repositories for ISLR-python
Users that are interested in ISLR-python are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code☆683Aug 13, 2021Updated 4 years ago
- ☆109Aug 19, 2021Updated 4 years ago
- Porting the R code in ISL to python. Labs and exercises☆202Aug 15, 2022Updated 3 years ago
- Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python☆943Nov 22, 2022Updated 3 years ago
- Notes and exercise attempts for "An Introduction to Statistical Learning"☆2,147Feb 14, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.☆357Jul 20, 2024Updated 2 years ago
- This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.☆2,496Sep 23, 2024Updated last year
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆928Jul 18, 2021Updated 5 years ago
- An Introduction to Statistical Learning with Applications in PYTHON☆561Jan 3, 2022Updated 4 years ago
- A collection of IPython notebooks covering various topics.☆2,593Oct 19, 2020Updated 5 years ago
- Python coded examples and documentation of machine learning algorithms.☆605Oct 1, 2020Updated 5 years ago
- ☆195Jan 22, 2013Updated 13 years ago
- Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.☆106Oct 24, 2017Updated 8 years ago
- A collection of tutorials on neural networks, using Theano☆221Feb 6, 2023Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆296May 5, 2018Updated 8 years ago
- The "Python Machine Learning (1st edition)" book code repository and info resource☆12,629Jul 18, 2026Updated last week
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆376Sep 17, 2015Updated 10 years ago
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆430Feb 10, 2026Updated 5 months ago
- Python Data Science Handbook: full text in Jupyter Notebooks☆49,400Jun 26, 2024Updated 2 years ago
- Coursera Machine Learning - Python code☆857Oct 1, 2020Updated 5 years ago
- aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firs…☆28,184Jun 25, 2024Updated 2 years ago
- Materials for my scikit-learn tutorial☆1,833Mar 23, 2023Updated 3 years ago
- Text and supporting code for Think Stats, 2nd Edition☆4,220Jan 23, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆29,265Mar 20, 2024Updated 2 years ago
- Python code for "Probabilistic Machine learning" book by Kevin Murphy☆7,116Feb 26, 2026Updated 5 months ago
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.☆25,601May 19, 2026Updated 2 months ago
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,819Oct 2, 2020Updated 5 years ago
- PyMC educational resources☆2,097Dec 23, 2024Updated last year
- The "Python Machine Learning (2nd edition)" book code repository and info resource☆7,195Oct 1, 2020Updated 5 years ago
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,940Apr 16, 2024Updated 2 years ago
- Jupyter notebooks from the scikit-learn video series☆3,801Mar 5, 2024Updated 2 years ago
- Open Content for self-directed learning in data science☆2,980May 24, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- PRML algorithms implemented in Python☆11,718Apr 5, 2025Updated last year
- Labs and Exercises from "An Introduction to Statistical Learning", implemented in Python.☆31Jul 16, 2018Updated 8 years ago
- Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. …☆32,372Oct 15, 2023Updated 2 years ago
- Repository of teaching materials, code, and data for my data analysis and machine learning projects.☆6,729Jun 21, 2023Updated 3 years ago
- An Introduction to Statistical Learning with Applications in R☆62Nov 15, 2014Updated 11 years ago
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.☆29,949May 19, 2026Updated 2 months ago
- Jupyter notebooks for the code samples of the book "Deep Learning with Python"☆20,211Sep 18, 2025Updated 10 months ago