maitbayev / the-elements-of-statistical-learningLinks
My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
☆419Updated last week
Alternatives and similar repositories for the-elements-of-statistical-learning
Users that are interested in the-elements-of-statistical-learning are comparing it to the libraries listed below
Sorting:
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆901Updated 4 years ago
- Porting the R code in ISL to python. Labs and exercises☆201Updated 3 years ago
- ☆110Updated 4 years ago
- Notes from Introduction to Statistical Learning☆118Updated 7 years 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
- Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.☆185Updated last year
- COMS W4995 Applied Machine Learning - Spring 20☆247Updated 3 years ago
- Second edition of Springer Book Python for Probability, Statistics, and Machine Learning☆370Updated 4 years ago
- An Introduction to Statistical Learning with Applications in PYTHON☆549Updated 3 years ago
- General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python☆965Updated 3 years ago
- Machine learning flashcards☆221Updated 4 years ago
- Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.☆339Updated last year
- Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python☆940Updated 2 years ago
- Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code☆687Updated 4 years ago
- This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.☆757Updated 4 years ago
- How to do Bayesian statistical modelling using numpy and PyMC3☆670Updated 3 years ago
- Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"☆789Updated 2 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆279Updated 8 years ago
- Repository for CS109A Fall 2018☆149Updated 5 years ago
- Introduction to Machine learning with Python, 4h interactive workshop☆311Updated 5 years ago
- Personal repository of data science demonstrations and references☆77Updated 2 years ago
- 📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines☆161Updated 3 years ago
- Code for a tutorial on Bayesian Statistics by Allen Downey.☆356Updated 4 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆290Updated 4 years ago
- Machine learning course materials.☆574Updated last year
- Notes for 18.6501x, Fundamentals of Statistics on edX☆96Updated 3 years ago
- ☆115Updated 3 years ago
- A list of resources for our society members who have upcoming interviews!☆95Updated 8 months ago
- ☆87Updated 2 years ago
- Linear Algebra and Optimization for Data Science☆24Updated 4 years ago