empathy87 / The-Elements-of-Statistical-Learning-Python-Notebooks
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
☆879Updated 3 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
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆409Updated 3 years ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆287Updated 7 years ago
- An Introduction to Statistical Learning with Applications in PYTHON☆542Updated 3 years ago
- General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python☆923Updated 2 years ago
- Porting the R code in ISL to python. Labs and exercises☆196Updated 2 years ago
- Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code☆679Updated 3 years ago
- Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"☆772Updated 2 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆270Updated 4 years ago
- Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.☆328Updated 9 months ago
- An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code☆4,316Updated 2 years ago
- This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.☆753Updated 4 years ago
- Data science interview questions with answers. Not ideally (yet)☆1,617Updated 2 years ago
- My Answer to 120 Data Science Interview Questions☆504Updated 4 years ago
- Summary notes and examples for every chapter in the popular textbook "The Elements of Statistical Learning" .☆34Updated 3 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆245Updated 3 years ago
- Second edition of Springer Book Python for Probability, Statistics, and Machine Learning☆359Updated 3 years ago
- VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers☆737Updated 4 years ago
- ☆107Updated 3 years ago
- Python implementations (on jupyter notebook) of algorithms described in the book "PRML"☆253Updated 3 years ago
- ☆520Updated 11 months ago
- Solutions to Wasserman's 'All of Statistics'.☆104Updated 5 years ago
- My solution to the book A Collection of Data Science Take-Home Challenges☆1,694Updated 6 years ago
- Python Feature Engineering Cookbook, published by Packt☆477Updated 2 years ago
- Self-study on Larry Wasserman's "All of Statistics"☆1,064Updated 2 years ago
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆534Updated 5 years ago
- ☆114Updated 3 years ago
- My solution to the book <A collection of Data Science Take-home Challenges>☆982Updated 2 years ago
- Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.☆105Updated 7 years ago
- Python-centered read-along of Forecasting: Principles and Practice☆505Updated 7 months ago
- Machine learning course materials.☆572Updated last year