Alternatives and similar repositories for PracticalMachineLearning:

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

• brandenkmurray / kaggle
  Code used in Kaggle competitions
  ☆23Updated 7 years ago
• ujjwalkarn / xda
  R package for exploratory data analysis
  ☆118Updated 7 years ago
• zachmayer / caretEnsemble
  caret models all the way down
  ☆226Updated last month
• owenzhang / Kaggle-AmazonChallenge2013
  my public kaggle code
  ☆79Updated 11 years ago
• mlandry22 / kaggle
  Public Kaggle Code and Info
  ☆43Updated 9 years ago
• kbroman / RStudioConf2017Slides
  Links to slides for talks at the 2017 rstudio::conf
  ☆144Updated 2 years ago
• London-R-Dojo / Dojo-repo
  ☆15Updated 8 years ago
• HireSmarter / churn201
  Simple employee cost/benefit model with plots. Supports a series of blog entries.
  ☆70Updated 10 years ago
• sallyblockchain / Coursera-Practical-Machine-Learning
  Repo for Coursera.com online course: Practical Machine Learning
  ☆21Updated 10 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
• rstats-gsoc / gsoc2015
  R project participation in Google Summer of Code 2015
  ☆42Updated 10 years ago
• aloysius-lim / bigrf
  Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory
  ☆91Updated 9 years ago
• caprice-j / ggbash
  A simpler ggplot2 syntax, saving half of your typing.
  ☆79Updated 6 years ago
• Keiku / kaggle-airbnb-recruiting-new-user-bookings
  2nd Place Solution in Kaggle Airbnb New User Bookings competition
  ☆128Updated 8 years ago
• ropensci-training / user2016-tutorial
  useR 2016 workshop materials for "Extracting data from the web APIs and beyond"
  ☆114Updated 8 years ago
• topepo / APM_Exercises
  Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)
  ☆196Updated 8 years ago
• wehrley / wehrley.github.io
  ☆159Updated 8 years ago
• surajvv12 / 17_Classification
  17 Classification Algorithms using R
  ☆56Updated 9 years ago
• harrysouthworth / gbm
  Gradient boosted models
  ☆105Updated 10 years ago
• AmeliaMN / DS_for_S
  Materials for March 12 ENAR short course on Data Science for Statisticians
  ☆47Updated 8 years ago
• dgrtwo / empirical-bayes-book
  Introduction to Empirical Bayes: Examples from Baseball Statistics
  ☆190Updated 4 years ago
• nbrgraphs / mro
  Creating Effective Graphs with Microsoft R Open
  ☆60Updated 8 years ago
• echen / ggplot2-tutorial
  Quick introduction to ggplot2 (no knowledge of R assumed)
  ☆237Updated 6 years ago
• ben519 / mltools
  Exploratory and diagnostic machine learning tools for R
  ☆72Updated 3 years ago
• mewo2 / medley
  A system for blending regression models in R
  ☆75Updated 12 years ago
• ledell / useR-machine-learning-tutorial
  useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
  ☆401Updated 7 years ago
• ricardo-bion / medium_visualization
  ☆85Updated 7 years ago
• wush978 / FeatureHashing
  Implement feature hashing with R
  ☆97Updated last year
• sallyblockchain / Coursera-R-Programming
  Repo for Coursera.com online course: R Programming
  ☆72Updated 10 years ago
• amunategui / BetterCrossValidation
  Companion code for YouTube video: https://www.youtube.com/watch?v=Og7CGAfSr_Y&feature=youtu.be
  ☆23Updated 10 years ago