Machine Learning for Tabular Data in R

UC Santa Barbara Library

August 16 & 18, 2022

9:30 am - 1:00 pm PST

Instructors: Dave Hunter, Greg Janée

Helpers: Seth Erickson, Amanda Ho, Kristi Liu

Registration for this workshop begins on July 15, 2022 at 8:00 am PST.

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General Information

This is a pilot workshop, testing out a lesson that is still under development. The lesson authors would appreciate any feedback you can give them about the lesson content and suggestions for how it could be further improved.

Where: This workshop will only support in-person attendance and will take place at Davidson Library, UCEN Rd, Santa Barbara, CA. We acknowledge that this University system was founded upon exclusions and erasures of many Indigenous peoples, including those on whose lands UCSB is located: the villages and unceded lands of the Chumash people. You may read more on Land Acknowlegment

When: August 16 & 18, 2022. Add to your Google Calendar.

Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).

Accessibility: We are committed to making this workshop accessible to everybody. For workshops at a physical location, the workshop organizers have checked that:

Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them.

Contact: Please email for more information.

Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.

Who can attend?: This workshop is open to students, faculty, staff, or affiliated researchers in the SB Area, including SBCC and Westmont.

Code of Conduct

Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.

Collaborative Notes

We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.


Please be sure to complete these surveys before and after the workshop.

Pre-workshop Survey

Post-workshop Survey


The lesson taught in this workshop is being piloted and a precise schedule is yet to be established. The workshop will include regular breaks. Please contact the workshop organisers if you would like more information about the planned schedule.

Day 1

Before starting Pre-workshop survey
9:30 am Workshop Introduction
9:40 am A Brief Introduction to Machine Learning
9:55 am Linear and Logistic Regression
10:45 am Break
10:55 am Decision Trees
11:50 am Random Forests
12:50 pm Review
1:00 pm End Day 1

Day 2

9:30 am Review
9:40 am Random Forests
10:10 am Gradient Boosted Trees
10:50 am Break
11:00 am Gradient Boosted Trees
11:30 am Cross Validation and Tuning
12:45 am Review
1:00 pm END Workshop
After Post-Workshop Survey


To participate in a workshop, you will need access to software as described on this page: Setup Page. In addition, you will need an up-to-date web browser.

We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.