Alternatives and similar repositories for Presentations:

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

• kapelner / ICEbox
  An R package for better visualizing a statistical learning model
  ☆34Updated 2 years ago
• zmjones / edarf
  exploratory data analysis using random forests
  ☆69Updated 6 years ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 6 years ago
• AlexIoannides / pipeliner
  Machine learning pipelines for R.
  ☆67Updated 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
• noamross / zero-dependency-problems
  Real-world code problems in R, without dependencies
  ☆80Updated 9 years ago
• rstudio / sparkapi
  Sparklyr Extensions API
  ☆31Updated 8 years ago
• rajshah4 / outliers_shiny
  2D Outlier Analysis using Shiny
  ☆47Updated 2 years ago
• klarsen1 / Information
  Information Package
  ☆44Updated 8 years ago
• rstudio / Strata2016
  Materials for Nathan and Garrett's tutorial R for Big Data
  ☆17Updated 8 years ago
• randel / MixRF
  A random-forest-based approach for imputing clustered incomplete data
  ☆35Updated 7 years ago
• kshirley / summarytrees
  R package to compute and visualize summary trees
  ☆34Updated 9 years ago
• WinVector / replyr
  Patches for using dplyr with Databases and Big Data
  ☆67Updated 4 years ago
• patr1ckm / mvtboost
  Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.
  ☆36Updated 6 years ago
• padamson / rwml-R
  R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"
  ☆60Updated 2 years ago
• caprice-j / ggbash
  A simpler ggplot2 syntax, saving half of your typing.
  ☆79Updated 6 years ago
• kbroman / JSM2016slides
  Links to slides for talks at the 2016 Joint Statistical Meetings in Chicago
  ☆79Updated 2 years ago
• topepo / odsc_rules
  Notes and code for the workshop "Rule-Based Models for Regression and Classification”
  ☆12Updated 8 years ago
• WinVector / WinVector.github.io
  Viewable pages from WinVector LLC view at: http://winvector.github.io
  ☆23Updated 3 weeks ago
• ben519 / mltools
  Exploratory and diagnostic machine learning tools for R
  ☆72Updated 3 years ago
• vertica / vertica.dplyr
  ☆22Updated 7 years ago
• kirillseva / ruigi
  Ruigi is a pipeline specialist, much like his python counterpart, Luigi.
  ☆42Updated 5 years ago
• tobigithub / caret-machine-learning
  Practical examples for the R caret machine learning package
  ☆66Updated 7 years ago
• rdpeng / daprocedures
  ☆41Updated 6 years ago
• woobe / deepr
  An R package to streamline the training, fine-tuning and predicting processes for deep learning based on 'darch' and 'deepnet'.
  ☆45Updated 9 years ago
• klarsen1 / gampost
  ☆77Updated 9 years ago
• woobe / blenditbayes
  Code used in my blog "Blend it like a Bayesian!"
  ☆75Updated 10 years ago
• mine-cetinkaya-rundel / 2016-06-27-first-ds-course-user
  Slides for the "A first-year undergraduate data science course" talk at useR 2016 at Stanford
  ☆20Updated 8 years ago
• ljdursi / beyond-single-core-R
  Short tour of parallel and foreach packages, and how to think about scaling data analyses
  ☆76Updated 4 years ago
• drsimonj / pipelearner
  Tidy machine learning pipelines
  ☆133Updated 7 years ago