1 day workshop at NHS-R Conference – 2021
Summary: 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}.
Pre-requisites: Some introductory experience with R.
Link to lab for local download here
Link to tidymodels main website https://www.tidymodels.org/
Link to “Tidy Modeling with R” book: https://www.tmwr.org/
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