Photo by David Kovalenko on Unsplash

Introduction to Machine Learning with the Tidyverse


Date
Location
Eugene, OR

This four-hour workshop will provide a gentle introduction to machine learning with R using the modern suite of predictive modeling packages called tidymodels. We will build, evaluate, compare, and tune predictive models. Along the way, we’ll learn about key concepts in machine learning including overfitting, the holdout method, the bias-variance trade-off, ensembling, cross-validation, and feature engineering. Learners will gain knowledge about good predictive modeling practices, as well as hands-on experience using tidymodels packages like parsnip, rsample, recipes, yardstick, tune, and workflows.

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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.