empathy87 / The-Elements-of-Statistical-Learning-Python-NotebooksLinks
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
☆903Updated 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
Sorting:
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆422Updated 2 months ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆293Updated 7 years ago
- An Introduction to Statistical Learning with Applications in PYTHON☆552Updated 3 years ago
- Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.☆344Updated last year
- Porting the R code in ISL to python. Labs and exercises☆203Updated 3 years ago
- ☆110Updated 4 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆296Updated 5 years ago
- Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"☆788Updated 3 years ago
- General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python☆976Updated 3 years ago
- Machine learning course materials.☆577Updated 2 years ago
- Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python☆940Updated 3 years ago
- Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code☆690Updated 4 years ago
- Second edition of Springer Book Python for Probability, Statistics, and Machine Learning☆369Updated 4 years ago
- STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)☆446Updated last year
- COMS W4995 Applied Machine Learning - Spring 20☆245Updated 3 years ago
- Self-study on Larry Wasserman's "All of Statistics"☆1,186Updated 2 years ago
- VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers☆799Updated 5 years ago
- COMS W4995 Applied Machine Learning - Spring 19☆303Updated 6 years ago
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆543Updated 6 years ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆215Updated 3 weeks ago
- Notes for 18.6501x, Fundamentals of Statistics on edX☆96Updated 3 years ago
- Interpretable Machine Learning with Python, published by Packt☆475Updated 3 weeks ago
- This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.☆756Updated 4 years ago
- Student Solutions to An Introduction to Statistical Learning with Applications in R☆205Updated 4 years ago
- Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"☆882Updated 4 years ago
- Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.☆107Updated 8 years ago
- How to do Bayesian statistical modelling using numpy and PyMC3☆671Updated 3 years ago
- Python Feature Engineering Cookbook, published by Packt☆483Updated 3 weeks ago
- ☆204Updated 3 years ago
- ☆553Updated last year