Photo by Daniel Cheung on Unsplash

Introduction to Machine Learning with the Tidyverse

These workshops provide a gentle introduction to supervised machine learning: concepts, methods, and R code. Participants 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 their models. We focus on teaching intuitive explanations of the models and best practices for predictive modeling. Along the way, we introduce several core tidymodels packages, which provide a grammar for modeling that makes it easy to the right thing, and harder to accidentally do the wrong thing.

See the workshop websites for more, including links to the GitHub repositories for all workshop materials.

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Alison Hill
Data Scientist & Professional Educator

I’m a developmental psychologist, former NIH Principal Investigator, and autism researcher who loves programming.

Posts

Taking a sad script and making it better for model cross-validation.

Talks

R / Medicine 2020: A 4-hour workshop to introduce the basics of machine learning in R using tidymodels.

Cascadia R Conf 2020: A 4-hour workshop to introduce the basics of machine learning in R using tidymodels.

rstudio::conf(2020) two-day workshop to introduce the basics of machine learning and tidymodels.