Alternatives and similar repositories for IntroductionToProbabilityPy

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

• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆63Updated 6 years ago
• AllenDowney / BiteSizeBayes
  An introduction to Bayesian statistics using Python and (coming soon) R.
  ☆134Updated 2 years ago
• Foundations-of-Applied-Mathematics / Student-Materials
  Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/
  ☆55Updated last year
• ssanderson / foundations-of-numerical-computing
  Lecture Slides, Exercises, and Deployment Materials for "Foundations of Numerical Computing"
  ☆81Updated 2 years ago
• cliburn / sta-663-2020
  ☆45Updated 5 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆27Updated 6 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• AM207 / 2018fall
  ☆38Updated 4 years ago
• stappit / all-of-statistics
  Solutions to Wasserman's 'All of Statistics'.
  ☆104Updated 6 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆94Updated 2 years ago
• fonnesbeck / bayes_tutorial_2019
  Introductory overview of Bayesian inference
  ☆43Updated 6 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆127Updated 5 years ago
• neurospin / pystatsml
  Statistics and Machine Learning in Python
  ☆70Updated 4 years ago
• ehsanma / IDS-566
  Advanced Text Analytics for Business
  ☆15Updated 7 years ago
• firmai / ml-fairness-framework
  FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
  ☆72Updated 4 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆137Updated 5 years ago
• DataForScience / Probability
  Applied Probability Theory for Everyone
  ☆120Updated last year
• EricSchles / datascience_book
  ☆133Updated last year
• parrt / msds689
  Course syllabus, notes, projects for USF's MSDS689
  ☆62Updated last year
• mscaudill / IntroStatLearn
  Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.
  ☆107Updated 8 years ago
• fonnesbeck / Bayes_Computing_Course
  ☆232Updated 4 years ago
• cliburn / sta-663-2018
  ☆74Updated 6 years ago
• Montanaz0r / Bayesian-Statistics-The-Fun-Way
  Solutions and workflow for the Bayesian Statistics The Fun Way book in Python
  ☆75Updated last year
• amueller / sklearn-one-day
  One day workshop for machine learning with scikit-learn
  ☆63Updated 2 years ago
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• eigenfoo / tests-as-linear
  Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
  ☆95Updated last year
• harvard-ml-courses / cs181-lectures
  ☆38Updated 6 years ago
• DrDub / artfeateng
  Code for the book Art of Feature Engineering
  ☆32Updated 3 years ago
• AllenDowney / ExploratoryDataAnalysis
  Repository for an online class on Exploratory Data Analysis in Python
  ☆67Updated 6 years ago
• ritchie46 / vanilla-machine-learning
  vanilla machine learning
  ☆112Updated 2 years ago