AnnArborRUserGroup / Presentations

Related projects: ⓘ

• zmjones / edarf
  exploratory data analysis using random forests
  ☆68Updated 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 7 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
• ben519 / mltools
  Exploratory and diagnostic machine learning tools for R
  ☆72Updated 2 years ago
• ColinFay / conf
  Slides from various conferences
  ☆48Updated 6 years ago
• noamross / zero-dependency-problems
  Real-world code problems in R, without dependencies
  ☆79Updated 9 years ago
• rstudio / Strata2016
  Materials for Nathan and Garrett's tutorial R for Big Data
  ☆17Updated 7 years ago
• kapelner / ICEbox
  An R package for better visualizing a statistical learning model
  ☆34Updated 2 years ago
• WinVector / replyr
  Patches for using dplyr with Databases and Big Data
  ☆66Updated 3 years ago
• drsimonj / pipelearner
  Tidy machine learning pipelines
  ☆134Updated 7 years ago
• topepo / useR2016
  Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"
  ☆38Updated 8 years ago
• mewo2 / medley
  A system for blending regression models in R
  ☆75Updated 11 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.
  ☆80Updated 6 years ago
• fawda123 / NeuralNetTools
  R package of generic neural network tools
  ☆71Updated 2 years ago
• dgrtwo / ebbr
  Empirical Bayes binomial estimation
  ☆69Updated 3 years ago
• WinVector / PreparingDataWorkshop
  ☆32Updated this week
• klarsen1 / Information
  Information Package
  ☆44Updated 8 years ago
• rajshah4 / outliers_shiny
  2D Outlier Analysis using Shiny
  ☆46Updated 2 years ago
• jennybc / 2015-02-23_bryan-fields-talk
  Talk at Workshop on Visualization for Big Data: Strategies and Principles, Fields Institute http://www.fields.utoronto.ca/programs/scient…
  ☆34Updated 9 years ago
• bgreenwell / pdp
  A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.
  ☆91Updated 2 years ago
• tobigithub / caret-machine-learning
  Practical examples for the R caret machine learning package
  ☆67Updated 7 years ago
• tonyfischetti / bayesian-regularization
  A demonstration of Bayesian approaches to linear model regularization
  ☆17Updated 7 years ago
• ljdursi / beyond-single-core-R
  Short tour of parallel and foreach packages, and how to think about scaling data analyses
  ☆75Updated 4 years ago
• cboettig / nonparametric-bayes
  Non-parametric Bayesian Inference for Conservation Decisions
  ☆43Updated 4 years ago
• Stan125 / GREA
  Gotta Read Em All: RStudio Add-In to interactively read ALL the data into R
  ☆48Updated 5 years ago
• ledell / subsemble
  subsemble R package for ensemble learning on subsets of data
  ☆43Updated 2 years ago
• rdpeng / daprocedures
  ☆42Updated 5 years ago