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Machine Learning
Author

Dr. Joscelin Rocha-Hidalgo

Published

April 22, 2025

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Tidymodels, Virtually: An Introduction to Machine Learning with Tidymodels

By Dr. Alison Hill

What is this?

Excerpt from site: This four-hour pre-conference short course 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.

  1. Link to materials and course: https://tmv.netlify.app/site/
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