Alternatives and similar repositories for ISLP

Users that are interested in ISLP are comparing it to the libraries listed below

• aloctavodia / BAP3
  Figures and code examples from Bayesian Analysis with Python (third edition)
  ☆230Updated 4 months ago
• gedeck / mistat-code-solutions
  Code repository for "Modern Statistics: A Computer Based Approach with Python" and "Industrial Statistics: A Computer Based Approach with…
  ☆108Updated last month
• BayesianModelingandComputationInPython / BookCode_Edition1
  ☆558Updated last year
• ethanweed / pythonbook
  Python adaptation of Danielle Navarro's Learning Statistics with R (http://learningstatisticswithr.com/). Work in progress!
  ☆148Updated 9 months ago
• Nixtla / fpp3-python
  Forecasting: principles and practice in python
  ☆203Updated 2 years ago
• AllenDowney / BayesianDecisionAnalysis
  Repository for a workshop on Bayesian Decision Analysis
  ☆74Updated 2 years ago
• AllenDowney / empiricaldist
  Python library that represents empirical distribution functions.
  ☆173Updated 7 months ago
• mattharrison / effective_pandas_book
  Errata and code for Effective Pandas book
  ☆372Updated 3 years ago
• zgana / fpp3-python-readalong
  Python-centered read-along of Forecasting: Principles and Practice
  ☆511Updated 3 months ago
• valeman / Awesome_CatBoost
  The repository to showcase the best framework for tabular data - the Awesome CatBoost
  ☆280Updated 4 months ago
• mikexcohen / LinAlg4DataScience
  Code that accompanies the book "Linear Algebra for Data Science"
  ☆389Updated last year
• dustinstansbury / statistical-rethinking-2023
  Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.
  ☆187Updated last year
• PacktWorkshops / The-Statistics-and-Calculus-with-Python-Workshop
  ☆157Updated 3 weeks ago
• PacktPublishing / Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn
  Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
  ☆217Updated 3 weeks ago
• Montanaz0r / Bayesian-Statistics-The-Fun-Way
  Solutions and workflow for the Bayesian Statistics The Fun Way book in Python
  ☆75Updated 2 years ago
• mattharrison / effective_polars_book
  Code and materials for Effective Polars book
  ☆83Updated last year
• alexandrahotti / Solutions-to-A-Students-Guide-to-Bayesian-Statistics-by-Ben-Lambert
  My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.
  ☆74Updated last year
• TomasBeuzen / python-programming-for-data-science
  Content from the University of British Columbia's Master of Data Science course DSCI 511.
  ☆95Updated 2 years ago
• khuyentran1401 / reproducible-data-science
  Tutorials on creating a reproducible and maintainable data science project
  ☆149Updated 3 years ago
• rasbt / stat451-machine-learning-fs21
  ☆151Updated 4 years ago
• Carl-McBride-Ellis / TOBoML
  The Orange Book of Machine Learning
  ☆54Updated 4 months ago
• PacktPublishing / Practical-Guide-to-Applied-Conformal-Prediction
  Practical Guide to Applied Conformal Prediction, published by Packt
  ☆194Updated 2 months ago
• jeroenjanssens / python-polars-the-definitive-guide
  Scripts and datasets for the O'Reilly book Python Polars: The Definitive Guide
  ☆294Updated last month
• ysraell / forecasting
  Forecasting: Principles and Practice
  ☆61Updated 4 years ago
• cliburn / sta-663-2020
  ☆45Updated 5 years ago
• PacktPublishing / Bayesian-Analysis-with-Python-Second-Edition
  Bayesian Analysis with Python - Second Edition, published by Packt
  ☆137Updated 4 years ago
• QuantEcon / lecture-python.myst
  Quantitative Economics with Python
  ☆113Updated 2 weeks ago
• PacktPublishing / Machine-Learning-for-Time-Series-with-Python
  Machine Learning for Time-Series with Python.Published by Packt
  ☆306Updated 3 weeks ago
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆160Updated 2 weeks ago
• mattharrison / effective_xgboost_book
  ☆293Updated 2 years ago