JWarmenhoven / ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
☆4,281Updated 2 years ago
Alternatives and similar repositories for ISLR-python:
Users that are interested in ISLR-python are comparing it to the libraries listed below
- Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python☆932Updated 2 years ago
- Notes and exercise attempts for "An Introduction to Statistical Learning"☆2,139Updated 2 years ago
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆868Updated 3 years ago
- Porting the R code in ISL to python. Labs and exercises☆195Updated 2 years ago
- Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.☆321Updated 6 months ago
- A collection of IPython notebooks covering various topics.☆2,611Updated 4 years ago
- Text and supporting code for Think Stats, 2nd Edition☆4,075Updated 3 weeks ago
- Source code for my collection of articles on using pandas.☆1,546Updated 2 years ago
- Materials for my scikit-learn tutorial☆1,780Updated last year
- Statistical Data Analysis in Python☆1,600Updated 9 years ago
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆408Updated 3 years ago
- Jupyter notebooks from the scikit-learn video series☆3,691Updated 11 months ago
- Text and code for the second edition of Think Bayes, by Allen Downey.☆1,874Updated last month
- 100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)☆2,619Updated 7 months ago
- Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"☆757Updated 2 years ago
- An Introduction to Statistical Learning with Applications in PYTHON☆537Updated 3 years ago
- 50 scikit-learn tips☆1,727Updated 2 years ago
- This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.☆752Updated 4 years ago
- Matplotlib tutorial for beginner☆2,999Updated 8 months ago
- A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.☆3,061Updated 2 years ago
- The "Python Machine Learning (2nd edition)" book code repository and info resource☆7,144Updated 4 years ago
- Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"☆1,150Updated 2 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆378Updated 9 years ago
- Student Solutions to An Introduction to Statistical Learning with Applications in R☆204Updated 3 years ago
- Anatomy of Matplotlib -- tutorial developed for the SciPy conference☆1,222Updated 3 years ago
- Classical equations and diagrams in machine learning☆7,553Updated 6 months ago
- Introduction to Statistics using Python☆904Updated 4 years ago
- Public material for CS109☆1,478Updated 2 years ago
- Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code☆676Updated 3 years ago
- Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"☆867Updated 3 years ago