Publications by rstats | Julia Silge
Supervised Machine Learning for Text Analysis in R
Today, Emil Hvitfeldt and I led a useR! 2020 online tutorial on predictive modeling with text using tidy data principles. This tutorial was hosted by R-Ladies en Argentina; huge thanks to the organizers for their leadership and effort in making this tutorial possible. Materials for this tutorial are available on GitHub, with two main resourc...
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Getting started with tidymodels and #TidyTuesday Palmer Penguins
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 is good for folks just getting started with tidymodels, using this week’s #TidyTuesday dataset on penguins. ???? Here is the code I used in the video, for those who...
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Build a #TidyTuesday predictive text model for The Last Airbender
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 admittedly does not result in the best performing model you’ll ever see, but it is really fun and uses this week’s #TidyTuesday dataset on Avatar: The Last Airbend...
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Train and analyze many models for #TidyTuesday crop yields
Lately I’ve been publishing screencasts demonstrating how to use the tidymodels framework, from just getting started to tuning more complex models. Today’s screencast explores how to fluently apply tidy data principles to the task of building many models using with this week’s #TidyTuesday dataset on crop yields. ???? Here is the code I...
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Introducing our new book, Tidy Modeling with R
Today Max Kuhn and I are pleased to announce our new book, Tidy Modeling with R! This book focuses on how to use tidymodels and has two main goals: Readers will learn how to use R and tidymodels packages to create robust and reliable models. This is a practical book, full of code examples with real datasets. The book encourages good methodol...
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Handle class imbalance in #TidyTuesday climbing expedition data with tidymodels
Lately I’ve been publishing screencasts demonstrating how to use the tidymodels framework, from starting out with first modeling steps to tuning more complex models. Today’s screencast walks through a detailed model analysis from beginning to end, with important feature engineering steps and several model types, using this week’s #TidyTu...
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Modeling #TidyTuesday NCAA women’s basketball tournament seeds
Lately I’ve been publishing screencasts demonstrating how to use the tidymodels framework, from starting out with first modeling steps to tuning more complex models. Today’s screencast walks through how to tune and choose hyperparameters using this week’s #TidyTuesday dataset on NCAA women’s basketball tournaments. ???? Here is the co...
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Predicting class membership for the #TidyTuesday Datasaurus Dozen
This is the latest in my series of screencasts demonstrating how to use the tidymodels packages, from starting out with first modeling steps to tuning more complex models. Today’s screencast uses a smaller dataset but lets us try out some important skills in modeling, using this week’s #TidyTuesday dataset on the Datasaurus Dozen. Here i...
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Tune and interpret decision trees for #TidyTuesday wind turbines
This is the latest in my series of screencasts demonstrating how to use the tidymodels packages, from starting out with first modeling steps to tuning more complex models. Today’s screencast walks through how to tune, fit, and predict from decision tree models, using this week’s #TidyTuesday dataset on Canadian wind turbines. ???????? Her...
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Tune random forests for #TidyTuesday IKEA prices
This is the latest in my series of screencasts demonstrating how to use the tidymodels packages, from starting out with first modeling steps to tuning more complex models. Today’s screencast walks through how to get started quickly with tidymodels via usemodels functions for code scaffolding and generation, using this week’s #TidyTuesday...
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