Julia Silge's Blog, page 3

Find high FREX and high lift words for #TidyTuesday Stranger Things dialogue

New functionality in tidytext supports identifying high FREX and high lift words from topic modeling results.

Predict the status of #TidyTuesday Bigfoot sightings

Learn how to use vetiver to set up different types of prediction endpoints for your deployed model.

Use Docker to deploy a model for #TidyTuesday LEGO sets

After you train a model, you can use vetiver to prepare a Dockerfile and deploy your model in a flexible way.

Sliding windows for #TidyTuesday rents in San Francisco

The slider package provides support for flexible sliding window aggregation, and we can use these kinds of sliding windows to analyze rents over time.

Three ways to look at #TidyTuesday UK pay gap data

Use summarization, a single linear model, and bootstrapping to understand what economic activities involve a larger pay gap for women.

Use resampling to understand #TidyTuesday drought in TX

The spatialsample package is gaining many new methods this summer, and we can use spatially aware resampling to understand how drought is related to other quantities across Texas.

Predict #TidyTuesday NYT bestsellers

Will a book be on the NYT bestseller list a long time, or a short time? We walk through how to use wordpiece tokenization for the author names, and how to deploy your model as a REST API.

Handling model coefficients for #TidyTuesday collegiate sports

Understand how much money colleges spend on sports using linear modeling and bootstrap intervals.

Poisson regression for #TidyTuesday counts of R package vignettes

The tidymodels framework provides extension packages for specialized tasks such as Poisson regression. Learn how to fit a zero-inflated model for understanding how R package releases are related to number of vignettes.

Inference for #TidyTuesday aircraft and rank of Tuskegee airmen

The infer package is part of tidymodels and provides an expressive statistical grammar. Understand how to use infer, and celebrate Black History Month by learning more about the Tuskegee airmen.