berkeley-stat243 / stat243-fall-2014

Related projects ⓘ

Alternatives and complementary repositories for stat243-fall-2014

• berkeley-stat243 / stat243-fall-2015
  This repository holds all course materials for the fall 2015 offering of Statistics 243 at UC Berkeley.
  ☆35Updated 7 years ago
• berkeley-scf / r-bootcamp-2015
  SCF/D-Lab R bootcamp at UC Berkeley, August 2015
  ☆16Updated 9 years ago
• rbertolusso / intubate
  <||> Interfaces to Popular R Functions for Data Science Pipelines, and More
  ☆75Updated 8 years ago
• Amherst-Statistics / JSM2016-thinkwithR
  JSM 2016 talk: Thinking with Data using R and RStudio: powerful idioms for analysts
  ☆22Updated 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
• andrie / RHadoop-tutorial
  A tutorial on R and Hadoop, using the RHadoop project
  ☆41Updated 9 years ago
• hrbrmstr / rstudioconf2017
  Slides/code/data from rstudio:: conf 2017
  ☆52Updated 7 years ago
• ucb-stat243 / stat243-fall-2016
  Course materials for Stat 243, fall 2016, at UC Berkeley
  ☆9Updated 7 years ago
• wrathematics / RparallelGuide
  A guide to parallel R, including OpenMP. Kind of.
  ☆37Updated 9 years ago
• berkeley-scf / parallelR-biostat-2015
  Materials for presentation on parallel R to the UC Berkeley biostatistics graduate students
  ☆24Updated 9 years ago
• zmjones / edarf
  exploratory data analysis using random forests
  ☆68Updated 6 years ago
• AmeliaMN / DS_for_S
  Materials for March 12 ENAR short course on Data Science for Statisticians
  ☆47Updated 7 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
• homerhanumat / shinyTutorials
  Material for MOSAIC Project tutorials on Shiny
  ☆16Updated 4 years ago
• jennybc / 2015-06-28_r-summit-talk
  Talk at R Summit and Workshop about using R Markdown and GitHub in your workflow
  ☆36Updated 9 years ago
• paulhendricks / scorer
  Metrics for scoring machine learning models in R
  ☆22Updated 7 years ago
• stefano-meschiari / dictr
  A better dictionary class for R.
  ☆20Updated 3 years ago
• noamross / zero-dependency-problems
  Real-world code problems in R, without dependencies
  ☆79Updated 9 years ago
• Myfanwy / ggplot2Intro
  Materials accompanying the presentation "Introduction to ggplot2"
  ☆28Updated 7 years ago
• caprice-j / ggbash
  A simpler ggplot2 syntax, saving half of your typing.
  ☆80Updated 6 years ago
• zmjones / rfss
  "Exploratory Data Analysis using Random Forests"
  ☆18Updated 8 years ago
• hadley / ggstat
  Statistical computations for visualisation
  ☆69Updated 8 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
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 6 years ago
• haozhu233 / ezsummary
  ☆36Updated 5 years ago
• ledell / subsemble
  subsemble R package for ensemble learning on subsets of data
  ☆43Updated 2 years ago
• jcheng5 / user2016-tutorial-shiny
  ☆40Updated 7 years ago
• MangoTheCat / testCoverage
  R Code Coverage Package
  ☆33Updated 6 years ago
• johnmyleswhite / bayesian_nonparametrics
  Slides and code for Bayesian nonparametrics in R and Julia
  ☆52Updated 9 years ago