Caret intro and demo given to the Upstate Data Science group on Jan 13, 2016
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.gitignore Caret intro and demo Jan 5, 2016
Readme.html
Readme.md
caret.Rproj Caret intro and demo Jan 5, 2016
caret_talk.R Change date, added note about preprocessing. Jan 8, 2016
caret_talk.Rmd.md Caret intro and demo Jan 5, 2016
caret_talk.Rpres Caret intro and demo Jan 5, 2016
caret_talk.md
dataset-fixed.csv
dataset-har-PUC-Rio-ugulino.csv
ml-pipeline-john-laptop-2.png Caret intro and demo Jan 5, 2016
ml-pipeline-john-laptop.png
ml-pipeline.png
ml-pipeline.vsdx Caret intro and demo Jan 5, 2016

Readme.md

Upstate Data Science Meetup Group discussion on the caret package

This repository contains all the files used at the Upstate Data Science Meetup Group on January 13, 2016. The purpose of the discussion was to introduce the caret package, a package designed for machine learning using the R package.

Data

The data used in the discussion is from the Human Activity Recognition lab.

Preparation

If you wish to follow along, you will need the following:

  • R version 3.2.3 (or any recent version; I do not recommend earlier than 3.1.3 though)
  • R studio (optional except for the markdown file handling, but highly recommended)
  • the caret and doParallel packages
  • the e1071 package
  • a clone your own version of this github repository (or simply download a zip of it if you don't use GitHub)

Be warned: because caret provides an interface to all sorts of machine learning packages, its dependency list is extensive. You probably won't have time to install during the talk. If you are following along, please have everything set up before the talk.

Caret documentation

Please see documentation at the caret website.