julia silge - Robuta Search

https://juliasilge.com/blog/r-pkg-release/

Release an R package with Positron | Julia Silge

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https://juliasilge.com/blog/austin-housing/

Predict housing prices in Austin TX with tidymodels and xgboost | Julia Silge

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https://juliasilge.com/blog/tidylo-cran/

tidylo is now on CRAN! 🎉 | Julia Silge

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https://juliasilge.com/blog/project-feederwatch/

To downsample imbalanced data or not, with #TidyTuesday bird feeders | Julia Silge

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https://juliasilge.com/blog/ncaa-tuning/

Modeling #TidyTuesday NCAA women's basketball tournament seeds | Julia Silge

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https://juliasilge.com/blog/captive-africans-voyages/

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

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https://juliasilge.com/blog/cocktail-recipes-umap/

PCA and UMAP with tidymodels and #TidyTuesday cocktail recipes | Julia Silge

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https://juliasilge.com/blog/map-challenge/

Spatial resampling for #TidyTuesday and the #30DayMapChallenge | Julia Silge

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https://juliasilge.com/blog/sf-trees-random-tuning/

Tuning random forest hyperparameters with #TidyTuesday trees data | Julia Silge

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https://juliasilge.com/blog/rstats-vignettes/

Poisson regression for #TidyTuesday counts of R package vignettes | Julia Silge

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https://juliasilge.com/blog/roy-kent/

How often does Roy Kent say "F*CK"? | Julia Silge

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https://juliasilge.com/blog/student-debt/

Understand your models with #TidyTuesday inequality in student debt | Julia Silge

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https://juliasilge.com/blog/nber-papers/

Multiclass predictive modeling for #TidyTuesday NBER papers | Julia Silge

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https://juliasilge.com/blog/learn-tidytext-learnr/

Learn tidytext with my new learnr course | Julia Silge

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https://juliasilge.com/blog/ten-thousand-tweets/

Ten Thousand Tweets | Julia Silge

Visualizing My Twitter Archive with ggplot2

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https://juliasilge.com/blog/stranger-things/

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

find high frex lift words

https://juliasilge.com/blog/gdpr-violations/

Modeling #TidyTuesday GDPR violations with tidymodels | Julia Silge

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https://juliasilge.com/blog/himalayan-climbing/

Handle class imbalance in #TidyTuesday climbing expedition data with tidymodels | Julia Silge

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https://juliasilge.com/blog/board-games/

Predict ratings for #TidyTuesday board games | Julia Silge

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https://juliasilge.com/blog/educational-attainment/

Educational attainment in #TidyTuesday UK towns | Julia Silge

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https://juliasilge.com/blog/uk-museums/

High cardinality predictors for #TidyTuesday museums in the UK | Julia Silge

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https://juliasilge.com/blog/netflix-titles/

Which #TidyTuesday Netflix titles are movies and which are TV shows? | Julia Silge

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https://juliasilge.com/blog/childcare-costs/

Tune an xgboost model with early stopping and #TidyTuesday childcare costs | Julia Silge

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https://juliasilge.com/blog/tidymodels-book/

Introducing our new book, Tidy Modeling with R | Julia Silge

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https://juliasilge.com/blog/billboard-100/

Dimensionality reduction for #TidyTuesday Billboard Top 100 songs | Julia Silge

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https://juliasilge.com/blog/datasaurus-multiclass/

Predicting class membership for the #TidyTuesday Datasaurus Dozen | Julia Silge

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https://juliasilge.com/blog/tate-collection/

Explore art media over time in the #TidyTuesday Tate collection dataset | Julia Silge

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https://juliasilge.com/blog/pay-gap-uk/

Three ways to look at #TidyTuesday UK pay gap data | Julia Silge

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https://juliasilge.com/blog/sf-rent/

Sliding windows for #TidyTuesday rents in San Francisco | Julia Silge

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https://juliasilge.com/blog/beginners-guide-to-travis/

A Beginner's Guide to Travis-CI for R | Julia Silge

The Blind Leading the Blind

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https://juliasilge.com/blog/orcas-positron/

Positron in action with #TidyTuesday orca encounters | Julia Silge

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https://juliasilge.com/blog/palmer-penguins/

Get started with tidymodels and #TidyTuesday Palmer penguins | Julia Silge

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https://juliasilge.com/blog/chicago-traffic-model/

Predicting injuries for Chicago traffic crashes | Julia Silge

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https://juliasilge.com/blog/kmeans-employment/

Getting started with k-means and #TidyTuesday employment status | Julia Silge

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https://juliasilge.com/blog/place-names/

What tokens are used more vs. less in #TidyTuesday place names? | Julia Silge

tokens used vs less place

https://juliasilge.com/blog/tornadoes/

Predict the magnitude of #TidyTuesday tornadoes with effect encoding and xgboost | Julia Silge

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https://juliasilge.com/blog/nyt-bestsellers/

Predict #TidyTuesday NYT bestsellers | Julia Silge

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https://juliasilge.com/blog/tidymodels-ml-course/

Learn tidymodels with my supervised machine learning course | Julia Silge

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https://juliasilge.com/blog/taylor-swift/

Topic modeling for #TidyTuesday Taylor Swift lyrics | Julia Silge

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https://juliasilge.com/blog/uncanny-xmen/

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

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https://juliasilge.com/blog/nyc-airbnb/

Create a custom metric with tidymodels and NYC Airbnb prices | Julia Silge

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https://juliasilge.com/blog/shelter-animals/

Tune xgboost models with early stopping to predict shelter animal status | Julia Silge

tune xgboost models early stopping

https://juliasilge.com/blog/xgboost-tune-volleyball/

Tune XGBoost with tidymodels and #TidyTuesday beach volleyball | Julia Silge

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https://juliasilge.com/blog/crop-yields/

Train and analyze many models for #TidyTuesday crop yields | Julia Silge

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https://juliasilge.com/blog/water-sources/

Predict availability in #TidyTuesday water sources with random forest models | Julia Silge

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