
Tune XGBoost with tidymodels and #TidyTuesday beach volleyball
Learn how to tune hyperparameters for an XGBoost classification model to predict wins and losses.
Machine learning, text analysis, and more
Learn how to tune hyperparameters for an XGBoost classification model to predict wins and losses.
I am happy to announce that a new version of my free, online, interactive course has been published!
Lately I’ve been publishing screencasts demonstrating how to use the tidymodels framework, from first steps in modeling to how to evaluate complex models. Today’s screencast demonstrates how to implement multiclass or multinomial classification using with this week’s #TidyTuesday dataset on volcanoes. 🌋 Here is the code I used in the video, for those who prefer reading instead of or in addition to video. Explore the data Our modeling goal is to predict the type of volcano from this week’s #TidyTuesday dataset based on other volcano characteristics like latitude, longitude, tectonic setting, etc.
A lot has been happening in the tidymodels ecosystem lately! There are many possible projects we on the tidymodels team could focus on next; we are interested in gathering community feedback to inform our priorities. If you are interested in sharing your opinion on next steps in tidymodels development, please take this short survey. Lately I’ve been publishing screencasts demonstrating how to use the tidymodels framework, from first steps in modeling to how to tune more complex models.
This is an exciting week for us on the tidymodels team; we launched tidymodels.org, a new central location with resources and documentation for tidymodels packages. There is a TON to explore and learn there! 🚀 You can check out the official blog post for more details. Today, I’m publishing here on my blog another screencast demonstrating how to use tidymodels. This is a good video for folks getting started with tidymodels, using this week’s #TidyTuesday dataset on GDPR violations.