Alternatives and similar repositories for BayesForUndergrads:

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

• tdhopper / intro-to-scikit-learn
  Materials for talk on scikit-learn
  ☆27Updated 9 years ago
• amueller / odsc_east_2016
  ☆26Updated 8 years ago
• fonnesbeck / scipy2015_tutorial
  Computational Statistics II Tutorial at SciPy 2015
  ☆48Updated 9 years ago
• nvenkataraman1 / RProgrammingWorkshop
  Materials for the R Programming Workshop that I teach at The University of Chicago
  ☆34Updated 9 years ago
• rlabbe / statistical-rethinking
  Notebooks containing R code from Richard McElreath's Statistical Rethinking
  ☆72Updated 9 years ago
• fonnesbeck / ngcm_pandas_2017
  Python data analysis course for 2017 NGCM Summer Academy
  ☆20Updated 7 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 8 years ago
• bikestra / bdapy
  Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python
  ☆45Updated 10 years ago
• kbroman / JSM2016slides
  Links to slides for talks at the 2016 Joint Statistical Meetings in Chicago
  ☆79Updated 3 years ago
• fonnesbeck / stan_workshop_2016
  Bayesian Modeling using Stan in R (May/June 2016)
  ☆54Updated 8 years ago
• cliburn / sta-663-2015
  Course materials for STA663
  ☆37Updated 9 years ago
• padamson / rwml-R
  R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"
  ☆61Updated 2 years ago
• equinn1 / MTH225_Spring2016
  MTH225 Statistics for Science Spring 2016
  ☆12Updated 8 years ago
• topepo / useR2016
  Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"
  ☆39Updated 8 years ago
• hadley / vis-eda
  Visualisation for EDA
  ☆32Updated 8 years ago
• topepo / odsc_rules
  Notes and code for the workshop "Rule-Based Models for Regression and Classification”
  ☆12Updated 8 years ago
• bwlewis / GLM
  Notes on generalized linear models
  ☆110Updated 6 years ago
• ledell / sldm4-h2o
  Statistical Learning & Data Mining IV - H2O Presenation & Tutorial
  ☆26Updated 7 years ago
• rgerkin / pystan-sklearn
  ☆32Updated 7 years ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 6 years ago
• AmeliaMN / DS_for_S
  Materials for March 12 ENAR short course on Data Science for Statisticians
  ☆47Updated 8 years ago
• jfpuget / Tidy-Data
  Python code for Hadley Whickham's article on Tidy Data.
  ☆34Updated 8 years ago
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆58Updated 9 years ago
• berkeley-stat243 / stat243-fall-2014
  This repository holds all course materials for the fall 2014 offering of Statistics 243 at UC Berkeley.
  ☆15Updated 9 years ago
• diyadas / tutorials
  Short programming tutorials pertaining to data analysis.
  ☆15Updated 8 years ago
• Amherst-Statistics / JSM2016-thinkwithR
  JSM 2016 talk: Thinking with Data using R and RStudio: powerful idioms for analysts
  ☆23Updated 8 years ago
• mine-cetinkaya-rundel / ds-ed-enar2018
  Slides and materials for the "Teaching Data Science at All Levels" invited session at ENAR 2018
  ☆20Updated 7 years ago
• tdhopper / Data-Science-Conference-Bingo
  Inspired by John Foreman. Created by the crowds.
  ☆54Updated last year
• richarddmorey / ConfidenceIntervalsFallacy
  The Fallacy of Placing Confidence in Confidence Intervals
  ☆37Updated 9 years ago
• jcbozonier / PyData2015
  ☆41Updated 9 years ago