Alternatives and similar repositories for MLNotes:

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

• johnmyleswhite / SimpleAintEasy
  A compendium of the pitfalls and problems that arise when using standard statistical methods
  ☆246Updated 11 years ago
• bwlewis / GLM
  Notes on generalized linear models
  ☆110Updated 6 years ago
• echen / ggplot2-tutorial
  Quick introduction to ggplot2 (no knowledge of R assumed)
  ☆237Updated 6 years ago
• ujjwalkarn / xda
  R package for exploratory data analysis
  ☆120Updated 7 years ago
• hadley / ggstat
  Statistical computations for visualisation
  ☆70Updated 8 years ago
• rstats-gsoc / gsoc2017
  R project in Google Summer of Code 2017
  ☆107Updated 6 years ago
• kbroman / RStudioConf2017Slides
  Links to slides for talks at the 2017 rstudio::conf
  ☆144Updated 3 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
• drewconway / data_science_box
  Simple scripts to setup a fresh data science box using an Ubuntu 12.04.* LTS 64-bit server running on an EC2
  ☆163Updated 11 years ago
• dgrtwo / empirical-bayes-book
  Introduction to Empirical Bayes: Examples from Baseball Statistics
  ☆190Updated 4 years ago
• hadley / bigvis
  Exploratory data analysis for large datasets (10-100 million observations)
  ☆290Updated 9 years ago
• rstats-gsoc / gsoc2015
  R project participation in Google Summer of Code 2015
  ☆43Updated 10 years ago
• vertica / ddR
  Standard API for Distributed Data Structures in R
  ☆118Updated 7 years ago
• kbroman / JSM2016slides
  Links to slides for talks at the 2016 Joint Statistical Meetings in Chicago
  ☆79Updated 3 years ago
• 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
• swager / randomForestCI
  This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.
  ☆70Updated 7 years ago
• ropensci-training / user2016-tutorial
  useR 2016 workshop materials for "Extracting data from the web APIs and beyond"
  ☆114Updated 8 years ago
• hilaryparker / explainr
  ☆109Updated 8 years ago
• stan-dev / shinystan
  shinystan R package and ShinyStan GUI
  ☆199Updated 3 months ago
• caprice-j / ggbash
  A simpler ggplot2 syntax, saving half of your typing.
  ☆79Updated 6 years ago
• rstats-gsoc / gsoc2016
  R participation in Google Summer of Code 2016
  ☆81Updated 8 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
• STAT545-UBC / STAT545-UBC-original-website
  ⚠️ Old repository for website of STAT 545 @ University of British Columbia
  ☆319Updated 5 years ago
• ramnathv / rNotebook
  A browser based R Notebook
  ☆125Updated 11 years ago
• rasmusab / bayesian_first_aid
  Inside every classical test there is a Bayesian model trying to get out.
  ☆327Updated 8 years ago
• tdhock / animint
  animated and interactive web graphics
  ☆147Updated 5 years ago
• ricardo-bion / medium_visualization
  ☆85Updated 7 years ago
• zachmayer / caretEnsemble
  caret models all the way down
  ☆226Updated 2 months ago
• pablobarbera / data-science-workshop
  NYU Shortcourse -- "Data Science and Social Science" materials
  ☆135Updated 9 years ago
• ben519 / mltools
  Exploratory and diagnostic machine learning tools for R
  ☆73Updated 3 years ago