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

• sinclam2 / fifty-challenging-problems-in-probability
  My solutions to the problems in Fifty Challenging Problems in Probability by Frederick Mosteller
  ☆239Updated 6 years ago
• 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
• Peacock-Biscuit / DataScienceWork
  Repository for my master's degree graduation work
  ☆19Updated last month
• buruzaemon / stats-110
  ☆194Updated 2 years ago
• ryanluoli1 / UCL-MSc-Data-Science-and-Machine-Learning
  Lecture Notes and Projects of the MSc Data Science and Machine Learning programme at UCL.
  ☆19Updated 2 years ago
• mscaudill / IntroStatLearn
  Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.
  ☆105Updated 7 years ago
• yadongli / nyumath2048
  NYU Math-GA 2048: Scientific Computing in Finance
  ☆107Updated 5 years ago
• DataForScience / Probability
  Applied Probability Theory for Everyone
  ☆117Updated 8 months ago
• AllenDowney / BiteSizeBayes
  An introduction to Bayesian statistics using Python and (coming soon) R.
  ☆133Updated last year
• Harvard-IACS / 2020-CS109B
  ☆54Updated 5 years ago
• harvard-ml-courses / cs181-textbook
  ☆142Updated 2 months ago
• davidrosenberg / ttml2021fall
  DS-GA 3001: Tools and Techniques for Machine Learning (NYU Fall 2021)
  ☆46Updated last year
• hoangnguyen7699 / StatisticsForApplication_solution
  ☆62Updated 2 years ago
• rugantio / MachineLearningCourse
  A collection of notebooks of my Machine Learning class written in python 3
  ☆44Updated 7 years ago
• cliburn / sta-663-2020
  ☆45Updated 5 years ago
• dsrub / solutions_to_probability_statistics
  ☆78Updated 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/
  ☆53Updated 9 months ago
• akhilvasvani / Linear-Algebra-Basics
  Linear Algebra Fundamentals for Machine Learning
  ☆44Updated 5 years ago
• mattiasvillani / BayesLearnCourse
  Bayesian Learning course at Stockholm University
  ☆152Updated 11 months ago
• maitbayev / the-elements-of-statistical-learning
  My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…
  ☆413Updated 3 years ago
• ottermegazord / mit6867
  6.867 Machine Learning
  ☆31Updated 7 years ago
• unpingco / Python-for-Probability-Statistics-and-Machine-Learning-2E
  Second edition of Springer Book Python for Probability, Statistics, and Machine Learning
  ☆360Updated 3 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆247Updated 3 years ago
• Harvard-IACS / 2019-CS109B
  ☆62Updated 6 years ago
• QuantEcon / quantecon-notebooks-python
  A Repository of Notebooks for the Python Lecture Site
  ☆268Updated 4 years ago
• weijie-chen / Probability_Theory
  A quick introduction to all most important concepts of Probability Theory, only freshman level of mathematics needed as prerequisite.
  ☆49Updated 3 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…
  ☆275Updated 4 years ago
• AlessandroCorradini / Stanford-University-Statistical-Learning
  Repo for Statistical Learning course offered by Stanford University
  ☆49Updated 5 years ago
• Montanaz0r / Bayesian-Statistics-The-Fun-Way
  Solutions and workflow for the Bayesian Statistics The Fun Way book in Python
  ☆72Updated last year
• nishadhka / Learning-Calculus-with-Python
  ☆43Updated 5 years ago