intro-stat-learning / ISLP

Related projects ⓘ

Alternatives and complementary repositories for ISLP

• aloctavodia / BAP3
  Figures and code examples from Bayesian Analysis with Python (third edition)
  ☆154Updated last week
• dustinstansbury / statistical-rethinking-2023
  Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.
  ☆122Updated 4 months ago
• aeturrell / python4DS
  Python for Data Science. This repository hosts the code behind the online book that teaches you how to use Python for data science.
  ☆126Updated 10 months ago
• andrija-djurovic / adsfcr
  Applied Data Science for Credit Risk
  ☆82Updated this week
• valeman / Awesome_CatBoost
  The repository to showcase the best framework for tabular data - the Awesome CatBoost
  ☆180Updated 2 months ago
• intro-stat-learning / ISLP_labs
  Up-to-date version of labs for ISLP
  ☆760Updated 4 months ago
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆79Updated last month
• matheusfacure / causal-inference-in-python-code
  Code for the Book Causal Inference in Python
  ☆264Updated 9 months ago
• pymc-devs / pymc-examples
  Examples of PyMC models, including a library of Jupyter notebooks.
  ☆291Updated last month
• ysraell / forecasting
  Forecasting: Principles and Practice
  ☆30Updated 3 years ago
• mobook / MO-book
  Hands-On Optimization with Python
  ☆161Updated last week
• ethanweed / pythonbook
  Python adaptation of Danielle Navarro's Learning Statistics with R (http://learningstatisticswithr.com/). Work in progress!
  ☆107Updated last month
• PacktPublishing / Practical-Guide-to-Applied-Conformal-Prediction
  Practical Guide to Applied Conformal Prediction, published by Packt
  ☆144Updated 9 months ago
• gabors-data-analysis / da-coding-python
  This is a coding course in Python to accompany the Data Analysis material
  ☆106Updated 2 years ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆255Updated last month
• Carl-McBride-Ellis / TOBoML
  The Orange Book of Machine Learning
  ☆30Updated 3 months ago
• mattharrison / effective_polars_book
  Code and materials for Effective Polars book
  ☆69Updated 7 months ago
• LSTP-stat / StatResourcesHub
  StatsResourcesHub: Your go-to repository for all things statistics and programming. Find tutorials, code samples, and tips in Python, R,…
  ☆52Updated 2 months ago
• ctanujit / MATH350
  Statistical Inference Course
  ☆38Updated last week
• ronikobrosly / scipy_2022_causal_inference_tutorial
  A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session
  ☆33Updated 2 years ago
• BayesianModelingandComputationInPython / BookCode_Edition1
  ☆504Updated 6 months ago
• mattharrison / effective_xgboost_book
  ☆273Updated last year
• kpjmcg / Statistical-Rethinking-2023-Python-Notes
  Lecture notes and python code to replicate models built throughout the course of Richard Mcelreath's 2023 Lecture Series 'Statistical Ret…
  ☆72Updated last year
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆128Updated 3 months ago
• pymc-devs / pymc-bart
  ☆88Updated this week
• Montanaz0r / Bayesian-Statistics-The-Fun-Way
  Solutions and workflow for the Bayesian Statistics The Fun Way book in Python
  ☆65Updated 10 months ago
• dobriban / stat-ml-edu
  Resources for education in statistics and machine learning: from advanced undergraduate to research level
  ☆83Updated 6 months ago
• sktime / sktime-tutorial-pydata-global-2023
  ☆17Updated 11 months ago
• Carl-McBride-Ellis / Compendium-of-free-ML-reading-resources
  Compendium of free ML reading resources
  ☆264Updated last week