Alternatives and similar repositories for Coursera-Practical-Machine-Learning

Users that are interested in Coursera-Practical-Machine-Learning are comparing it to the libraries listed below

• rstats-gsoc / gsoc2017
  R project in Google Summer of Code 2017
  ☆107Updated 7 years ago
• faridcher / ml-course
  Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
  ☆174Updated 3 months ago
• trevorstephens / titanic
  Getting Started With R
  ☆233Updated 11 years ago
• ledell / useR-machine-learning-tutorial
  useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
  ☆399Updated 7 years ago
• wehrley / wehrley.github.io
  ☆158Updated 8 years ago
• bcaffo / regmodsbook
  A companion book for the Coursera Regression Models class
  ☆54Updated 6 years ago
• ujjwalkarn / xda
  R package for exploratory data analysis
  ☆120Updated 7 years ago
• rstudio / Intro
  Course materials for "Introduction to Data Science with R", a video course by RStudio and O'Reilly Media
  ☆238Updated 3 years ago
• COVAIL / cognizer
  R package to call IBM Watson services.
  ☆120Updated 7 years ago
• dgrtwo / dgrtwo.github.com
  My website
  ☆238Updated 9 months ago
• STAT545-UBC / STAT545-UBC-original-website
  ⚠️ Old repository for website of STAT 545 @ University of British Columbia
  ☆319Updated 6 years ago
• rstats-gsoc / gsoc2016
  R participation in Google Summer of Code 2016
  ☆81Updated 8 years ago
• zachmayer / caretEnsemble
  caret models all the way down
  ☆228Updated this week
• topepo / APM_Exercises
  Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)
  ☆197Updated 8 years ago
• HireSmarter / churn201
  Simple employee cost/benefit model with plots. Supports a series of blog entries.
  ☆70Updated 10 years ago
• kbroman / RStudioConf2017Slides
  Links to slides for talks at the 2017 rstudio::conf
  ☆144Updated 3 years ago
• echen / ggplot2-tutorial
  Quick introduction to ggplot2 (no knowledge of R assumed)
  ☆237Updated 7 years ago
• padamson / rwml-R
  R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"
  ☆61Updated 3 years ago
• pablobarbera / social-media-workshop
  Workshop: Collecting and Analyzing Social Media Data with R
  ☆101Updated 6 years ago
• nycdatasci / bootcamp006_project
  Bootcamp 6 Student Project Presentation
  ☆41Updated 8 years ago
• ricardo-bion / medium_visualization
  ☆85Updated 8 years ago
• jadianes / spark-r-notebooks
  R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks
  ☆122Updated 8 years ago
• petrkeil / Blog
  This repository contains codes for all of my blog posts since March 11 2015.
  ☆85Updated 8 years ago
• gbm-developers / gbm3
  Gradient boosted models
  ☆147Updated last year
• hadley / bigvis
  Exploratory data analysis for large datasets (10-100 million observations)
  ☆290Updated 10 years ago
• WinVector / zmPDSwR
  Example R scripts and data for "Practical Data Science with R" 1st edition by Nina Zumel and John Mount (Manning Publications)
  ☆478Updated 5 years ago
• michaeltoth / michaeltoth
  My Personal Website and Blog
  ☆31Updated 6 years ago
• pablobarbera / data-science-workshop
  NYU Shortcourse -- "Data Science and Social Science" materials
  ☆133Updated 9 years ago
• datasciencelabs / 2016
  Course material for BIO 260 and CSCI E-107 in Spring 2016
  ☆62Updated 7 years ago
• JulianHill / R-Tutorials
  Code from the r tutorial on my blog
  ☆144Updated 7 years ago