tidymodels

The Bechdel test and the X-Mansion with tidymodels and #TidyTuesday

Explore data from the Claremont Run Project on Uncanny X-Men with bootstrap resampling.

Impute missing data for #TidyTuesday voyages of captive Africans with tidymodels

Understand more about the forced transport of African people using the Slave Voyages database.

PCA and UMAP with tidymodels and #TidyTuesday cocktail recipes

Use tidymodels for unsupervised dimensionality reduction.

Tune XGBoost with tidymodels and #TidyTuesday beach volleyball

Learn how to tune hyperparameters for an XGBoost classification model to predict wins and losses.

Multinomial classification with tidymodels and #TidyTuesday volcano eruptions

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.

Sentiment analysis with tidymodels and #TidyTuesday Animal Crossing reviews

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.

Modeling #TidyTuesday GDPR violations with tidymodels

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!

PCA and the #TidyTuesday best hip hop songs ever

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. Today, I’m exploring a different part of the tidymodels framework; I’m showing how to implement principal component analysis via recipes with this week’s #TidyTuesday dataset on the best hip hop songs of all time as determinded by a BBC poll of music critics.

Bootstrap resampling with #TidyTuesday beer production data

I’ve been publishing screencasts demonstrating how to use the tidymodels framework, from first steps in modeling to how to tune more complex models. Today, I’m using this week’s #TidyTuesday dataset on beer production to show how to use bootstrap resampling to estimate model parameters.

Tuning random forest hyperparameters with #TidyTuesday trees data

I’ve been publishing screencasts demonstrating how to use the tidymodels framework, from first steps in modeling to how to tune more complex models. Today, I’m using a #TidyTuesday dataset from earlier this year on trees around San Francisco to show how to tune the hyperparameters of a random forest model and then use the final best model.