Machine learning with {tidymodels}

June 20, 2022


June 20, 2022


7:00 PM

Accepted workshop at useR2022!

This 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, and tune.

Posted on:
June 20, 2022
1 minute read, 83 words
talk useR
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