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Machine Learning in R

This workshop provides a practical introduction to using machine learning techniques in R with the popular R package “caret” (http://caret.r-forge.r-project.org/).

This workshop assumes experience and comfort with using R for data analytic work. If you are new to R, you should start with the “First Steps in R” and “Second Steps in R” workshops.

Workshop participants should also either have some exposure to machine learning or have a background in statistics and data analysis.

Software Used: R, RStudio


This workshop covers:

  • why use R for machine learning
  • feature/variable selection
  • partitioning your data
  • algorithm/model selection
  • assessing performance

Before you come

This workshop is designed for attendees who have the following:

  • a Yale NetID to use lab machines or personal computer with software installed
  • basic experience with the Windows OS (if using a lab computer)

Please email stathelp@yale.edu with any questions about this workshop.

Friday, November 3, 2017
1:30pm - 3:30pm
KBT C27 (Computer Classroom) Center for Science and Social Science Information (CSSSI)
Science Hill
Registration has closed.

Event Organizer

Jonathan Olmsted