Alternatives and similar repositories for intro-to-probability-solutions

Users that are interested in intro-to-probability-solutions are comparing it to the libraries listed below

• buruzaemon / IntroductionToProbabilityPy
  Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition
  ☆73Updated 6 years ago
• sinclam2 / fifty-challenging-problems-in-probability
  My solutions to the problems in Fifty Challenging Problems in Probability by Frederick Mosteller
  ☆240Updated 6 years ago
• demorenoc / springer-books
  An scrappeR of Springer books
  ☆42Updated 9 years ago
• DataForScience / Probability
  Applied Probability Theory for Everyone
  ☆117Updated 7 months ago
• AlessandroCorradini / Stanford-University-Statistical-Learning
  Repo for Statistical Learning course offered by Stanford University
  ☆48Updated 5 years ago
• CoveredInChocolate / AllStatistics
  Solutions for All of Statistics by Wasserman
  ☆12Updated 4 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/
  ☆52Updated 8 months ago
• mscaudill / IntroStatLearn
  Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.
  ☆105Updated 7 years ago
• rkneusel9 / MathForDeepLearning
  Source code for the book "Math for Deep Learning" (No Starch Press)
  ☆156Updated last month
• PacktPublishing / Mastering-Machine-Learning-Algorithms-Second-Edition
  Mastering Machine Learning Algorithms Second Edition, published by Packt
  ☆62Updated 4 years ago
• Harvard-IACS / 2020-CS109A
  ☆114Updated 3 years ago
• jcrouser / islr-python
  ☆107Updated 3 years ago
• stappit / all-of-statistics
  Solutions to Wasserman's 'All of Statistics'.
  ☆104Updated 6 years ago
• 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.
  ☆68Updated 10 months ago
• Harvard-IACS / 2020-CS109B
  ☆54Updated 4 years ago
• vbartle / MML-Companion
  This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…
  ☆272Updated 4 years ago
• minireference / noBSLAnotebooks
  Jupyter notebooks with exercises for the No bullshit guide to linear algebra.
  ☆227Updated last year
• nishadhka / Learning-Calculus-with-Python
  ☆43Updated 5 years ago
• AllenDowney / BiteSizeBayes
  An introduction to Bayesian statistics using Python and (coming soon) R.
  ☆132Updated last year
• Harvard-IACS / 2019-CS109B
  ☆62Updated 5 years ago
• harvard-ml-courses / cs181-textbook
  ☆135Updated 2 months ago
• emredjan / ISL-python
  Porting the R code in ISL to python. Labs and exercises
  ☆196Updated 2 years ago
• QuantEcon / lecture-python.notebooks
  Notebooks for https://python.quantecon.org
  ☆240Updated this week
• DSML-book / Programs
  Programs
  ☆109Updated 6 months ago
• nculwell / MathStudy
  Info on resources for studying math, stats, CS, etc.
  ☆206Updated last year
• dsrub / solutions_to_probability_statistics
  ☆78Updated 4 years ago
• thomasduffy328 / financial-engineering
  Functions built on material from Columbia's Coursera courses on Financial Engineering and Risk Management (I & II).
  ☆17Updated 7 years ago
• buruzaemon / stats-110
  ☆194Updated 2 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆245Updated 3 years ago
• AllenDowney / ExploratoryDataAnalysis
  Repository for an online class on Exploratory Data Analysis in Python
  ☆66Updated 5 years ago