• 1395 University St, Eugene, OR 97403
  • Training sessions will be held in the Crater Lake North and South rooms on the first floor.
  • Sunday May 31, 10:15 to 12:15
    Sunday May 31, 14:15 to 16:15


Introduction to machine learning and tidymodels.

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 .