Alternatives and similar repositories for DS_for_S:

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

• 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
• bwilbertz / RLightGBM
  R Interface for LightGBM
  ☆47Updated 7 years ago
• caprice-j / ggbash
  A simpler ggplot2 syntax, saving half of your typing.
  ☆79Updated 6 years ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated last month
• fdabl / Intro-Stats
  Introductory Workshop to (Bayesian) Statistics
  ☆38Updated 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
• kbroman / JSM2016slides
  Links to slides for talks at the 2016 Joint Statistical Meetings in Chicago
  ☆79Updated 3 years ago
• ben519 / mltools
  Exploratory and diagnostic machine learning tools for R
  ☆73Updated 3 years ago
• zmjones / edarf
  exploratory data analysis using random forests
  ☆69Updated 7 years ago
• klarsen1 / Information
  Information Package
  ☆44Updated 9 years ago
• JustinMShea / StatisticalLearning
  Course offered online through Stanford closely following the text "An Introduction to Statistical Learning, with Applications in R" (Jame…
  ☆6Updated 6 years ago
• ColinFay / conf
  Slides from various conferences
  ☆48Updated 6 years ago
• Amherst-Statistics / JSM2016-thinkwithR
  JSM 2016 talk: Thinking with Data using R and RStudio: powerful idioms for analysts
  ☆23Updated 8 years ago
• andrie / RHadoop-tutorial
  A tutorial on R and Hadoop, using the RHadoop project
  ☆41Updated 9 years ago
• thirdwing / mxnet_shiny
  Image Classification using MXNetR
  ☆55Updated 8 years ago
• ledell / sldm4-h2o
  Statistical Learning & Data Mining IV - H2O Presenation & Tutorial
  ☆26Updated 7 years ago
• drsimonj / pipelearner
  Tidy machine learning pipelines
  ☆133Updated 7 years ago
• rstudio / Strata2016
  Materials for Nathan and Garrett's tutorial R for Big Data
  ☆17Updated 8 years ago
• jeremiedb / gan_example
  Generative Adversial Network Example
  ☆15Updated 6 years ago
• alexpghayes / classic-stats-formulas
  reference material for classical hypothesis tests
  ☆75Updated 3 years ago
• mewo2 / medley
  A system for blending regression models in R
  ☆75Updated 12 years ago
• topepo / DC-ML-2018
  Materials for the Applied Machine Learning Workshop in Washington DC
  ☆29Updated 6 years ago
• tobigithub / caret-machine-learning
  Practical examples for the R caret machine learning package
  ☆69Updated 8 years ago
• ledell / subsemble
  subsemble R package for ensemble learning on subsets of data
  ☆43Updated 3 years ago
• patr1ckm / mvtboost
  Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.
  ☆36Updated 6 years ago
• hrbrmstr / rstudioconf2017
  Slides/code/data from rstudio:: conf 2017
  ☆51Updated 8 years ago
• andland / libFMexe
  libFM R package
  ☆26Updated 8 years ago
• cnaumzik / caffeR
  ☆38Updated 8 years ago
• WinVector / WVPlots
  Pre-packaged plots in R
  ☆85Updated last year
• rdpeng / daprocedures
  ☆41Updated 6 years ago