This two-day course will provide an overview of using R for supervised learning. The session will step through the process of building, visualizing, testing, and comparing models that are focused on prediction. The goal of the course is to provide a thorough workflow in R that can be used with many different regression or classification techniques. Case studies on real data will be used to illustrate the functionality and several different predictive models are illustrated.Register Now Learn More
This is a test run for a workshop in the final stages of development. The workshop provides a gentle introduction to machine learning and to the tidyverse packages that do machine learning. You’ll learn how to train and assess predictive models with several common machine learning algorithms, as well as how to do feature engineering to improve the predictive accuracy of your models. We will focus on learning the basic theory and best practices that support machine learning, and we will do it with a modern suite of R packages known as tidymodels. Tidymodels packages, like parsnip, recipes, and rsample provide a grammar for modeling and work seamlessly with R’s tidyverse packages.Register Now Learn More
Want to learn R? You’ve come to the right place. Our public, in-person workshops offer an intense one or two day experience to get you up and running with new techniques and technology. Our world class instructors and teaching philosophy make our workshops useful and enjoyable.
We hold workshops wherever demand is greatest. Let us know your interests and where you’re located so we can plan a workshop near you.
Get the latest about our in-person workshops as well as rstudio::conf in January.