https://github.com/juliasilge/tidymodels-tutorial

Introduction to ML with R using tidymodels
https://github.com/juliasilge/tidymodels-tutorial

Last synced: 3 months ago
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Introduction to ML with R using tidymodels

• Host: GitHub
• URL: https://github.com/juliasilge/tidymodels-tutorial
• Owner: juliasilge
• License: cc-by-sa-4.0
• Created: 2022-08-04T22:56:52.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-08-05T03:34:42.000Z (over 2 years ago)
• Last Synced: 2024-10-14T13:35:13.515Z (3 months ago)
• Language: R
• Homepage: https://bit.ly/learn-tidymodels
• Size: 5.96 MB
• Stars: 45
• Watchers: 3
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

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README

        
# Learn tidymodels 🤩

These are the materials for a one-day workshop on [tidymodels](https://www.tidymodels.org/). This workshop provides an introduction to machine learning with R using the tidymodels framework, a collection of packages for modeling and machine learning using [tidyverse](https://www.tidyverse.org/) principles. We will build, evaluate, compare, and tune predictive models. Along the way, we'll learn about key concepts in machine learning including overfitting, resampling, 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.

For a two-day workshop that this set of tutorials is based on, check out 

## Code of Conduct

Please note that the workshops project is released with a [Contributor Code of Conduct](https://contributor-covenant.org/version/2/1/CODE_OF_CONDUCT.html).

By contributing to this project, you agree to abide by its terms.

[![CC BY-SA 4.0](https://licensebuttons.net/l/by-sa/4.0/88x31.png)](http://creativecommons.org/licenses/by-sa/4.0/)