Alternatives and similar repositories for BayesForUndergrads

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

• fonnesbeck / ngcm_pandas_2017
  Python data analysis course for 2017 NGCM Summer Academy
  ☆20Updated 7 years ago
• amueller / odsc_east_2016
  ☆26Updated 9 years ago
• fonnesbeck / scipy2015_tutorial
  Computational Statistics II Tutorial at SciPy 2015
  ☆48Updated 9 years ago
• hadley / vis-eda
  Visualisation for EDA
  ☆32Updated 8 years ago
• rlabbe / statistical-rethinking
  Notebooks containing R code from Richard McElreath's Statistical Rethinking
  ☆72Updated 9 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 9 years ago
• bikestra / bdapy
  Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python
  ☆45Updated 10 years ago
• nvenkataraman1 / RProgrammingWorkshop
  Materials for the R Programming Workshop that I teach at The University of Chicago
  ☆34Updated 9 years ago
• simplystats / simplystats.github.io
  Simply Statistics on Github
  ☆26Updated 3 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
• ledell / sldm4-h2o
  Statistical Learning & Data Mining IV - H2O Presenation & Tutorial
  ☆26Updated 7 years ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 2 months ago
• michhar / rpy2_sample_notebooks
  Some sample notebooks using R commands within Python through rpy2 module
  ☆31Updated 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
• klarsen1 / Information
  Information Package
  ☆44Updated 9 years ago
• kshirley / summarytrees
  R package to compute and visualize summary trees
  ☆36Updated 9 years ago
• johnmyleswhite / SimpleAintEasy
  A compendium of the pitfalls and problems that arise when using standard statistical methods
  ☆246Updated 11 years ago
• cliburn / sta-663-2015
  Course materials for STA663
  ☆37Updated 9 years ago
• hrbrmstr / rstudioconf2017
  Slides/code/data from rstudio:: conf 2017
  ☆51Updated 8 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 9 years ago
• equinn1 / MTH225_Spring2016
  MTH225 Statistics for Science Spring 2016
  ☆12Updated 9 years ago
• ledell / h2oEnsemble-benchmarks
  Benchmarks of the H2O Ensemble R interface (H2O 2.0).
  ☆14Updated 4 years ago
• zatonovo / deep_learning_ex
  Deep learning examples
  ☆13Updated 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
• gjreda / pydata2015sea
  Materials for my PyData Seattle talk
  ☆21Updated 9 years ago
• zmjones / rfss
  "Exploratory Data Analysis using Random Forests"
  ☆18Updated 9 years ago
• bearloga / maltese
  Little R utility package for making time series data more machine learning-friendly
  ☆49Updated 5 years ago
• rtrangucci / gps_in_stan
  ☆12Updated 8 years ago
• diyadas / tutorials
  Short programming tutorials pertaining to data analysis.
  ☆15Updated 8 years ago