Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman
☆296May 5, 2018Updated 8 years ago
Alternatives and similar repositories for the-elements-of-statistical-learning-notebooks
Users that are interested in the-elements-of-statistical-learning-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:
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆928Jul 18, 2021Updated 5 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
- My solutions to problems of The Elements of Statistical Learning by Profs. Hastie, Tibshirani, and Friedman.☆91Apr 2, 2019Updated 7 years ago
- Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)☆290Nov 10, 2013Updated 12 years ago
- An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code☆4,406Oct 27, 2022Updated 3 years ago
- 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.
- Algorithms from the book "Elements of Statistical Learning", implemented in Python☆13Mar 29, 2015Updated 11 years ago
- A partial solution manual for: The Elements of Statistical Learning by Jerome Friedman, Trevor Hastie, and Robert Tibshirani☆17Jun 19, 2016Updated 10 years ago
- Programming of Simulation, Analysis, and Learning Systems Course Materials☆44Jul 21, 2026Updated last week
- Python package to solve actuarial life-contingent risks☆21Jul 4, 2026Updated 3 weeks ago
- PRML algorithms implemented in Python☆11,717Apr 5, 2025Updated last year
- Solutions for All of Statistics by Wasserman☆13Apr 5, 2021Updated 5 years ago
- Python code for "Probabilistic Machine learning" book by Kevin Murphy☆7,117Feb 26, 2026Updated 5 months 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
- OpenAI Request for Research - https://blog.openai.com/requests-for-research-2/☆14Mar 4, 2018Updated 8 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.☆22Nov 9, 2016Updated 9 years ago
- This repository provides all Python codes and Jupyter Notebooks of the book Python for Finance -- Analyze Big Financial Data by Yves Hilp…☆16Nov 16, 2017Updated 8 years ago
- ☆109Aug 19, 2021Updated 4 years ago
- Algorithm from The Elements of Statistical Learning book implement by Python 3 code☆19Jul 19, 2016Updated 10 years ago
- Upload of notebooks for used for Python tutorials.☆13Oct 2, 2017Updated 8 years ago
- Short tutorial on linear programming☆14Aug 2, 2023Updated 2 years ago
- Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.☆106Oct 24, 2017Updated 8 years ago
- ☆42Oct 24, 2020Updated 5 years ago
- Repository for code and materials from Galvanize DSI Premium Prep, January 18, 2021 through February 20, 2021☆11Feb 23, 2021Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- DS 3001: Foundations of Machine Learning☆19Oct 29, 2024Updated last year
- This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.☆760Dec 20, 2020Updated 5 years ago
- Sharing the CTR Prediction original paper and personal study notes☆147Jan 9, 2020Updated 6 years ago
- My Own Solution Manual of PRML☆1,015Apr 5, 2021Updated 5 years ago
- my first factor-stock-selecting backtest function☆22Aug 15, 2020Updated 5 years ago
- Self-Supervised Speech Pre-training and Representation Learning Toolkit.☆10Feb 29, 2024Updated 2 years ago
- An Introduction to Statistical Learning with Applications in R... with Python☆16Oct 17, 2021Updated 4 years ago
- Course materials for Advanced Topics in Statistical Learning, Spring 2024☆29Jul 14, 2025Updated last year
- Course notes for Computational Statistics and Statistical Compuing☆62Apr 17, 2019Updated 7 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- 该项目是关于机器学习经典书籍《Pattern Recognition and Machine Learning》的学习笔记，我用python实现了书中的一些实例，希望帮助感兴趣的人更好的理解☆77May 5, 2017Updated 9 years ago
- Mathematics of Deep Learning, Courant Insititute, Spring 19☆282Mar 15, 2019Updated 7 years ago
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.☆25,601May 19, 2026Updated 2 months ago
- Code that accompanies the paper Guided Deep Kernel Learning☆10Jul 2, 2023Updated 3 years ago
- a catch-all repo☆11Dec 28, 2023Updated 2 years ago
- Slides, material and solutions of the popular Statistical Learning course from Stanford's own Hastie & Tibshirani. Join me on my journey …☆16Mar 9, 2018Updated 8 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆95Mar 24, 2023Updated 3 years ago