Publications by rstats | Julia Silge
Modeling human/computer interactions on Star Trek from #TidyTuesday with workflowsets
This is the latest in my series of screencasts demonstrating how to use the tidymodels packages, from just getting started to tuning more complex models. Today’s screencast is on a more advanced topic, how to evaluate multiple combinations of feature engineering and modeling approaches via workflowsets, with this week’s #TidyTuesday datas...
3181 sym R (7951 sym/14 pcs) 8 img
Fit and predict with tidymodels for #TidyTuesday bird baths in Australia
This is the latest in my series of screencasts demonstrating how to use the tidymodels packages, from just getting started to tuning more complex models. Today’s screencast is good for folks who are newer to modeling or tidymodels; it focuses on how to use feature engineering together with a model algorithm and how to fit and predict, with th...
4152 sym R (6662 sym/19 pcs) 10 img
Dimensionality reduction for #TidyTuesday Billboard Top 100 songs
This is the latest in my series of screencasts demonstrating how to use the tidymodels packages, from just getting started to tuning more complex models. Today’s screencast focuses only on data preprocessing, or feature engineering; let’s walk through how to use dimensionality reduction for song features sourced from Spotify (mostly audio),...
5665 sym R (6208 sym/13 pcs) 14 img
Multiclass predictive modeling for #TidyTuesday NBER papers
This is the latest in my series of screencasts demonstrating how to use the tidymodels packages, from just getting started to tuning more complex models. Today’s screencast walks through how to build, tune, and evaluate a multiclass predictive model with text features and lasso regularization, with this week’s #TidyTuesday dataset on NBER ...
3275 sym R (7954 sym/16 pcs) 8 img
Predict #TidyTuesday giant pumpkin weights with workflowsets
This is the latest in my series of screencasts demonstrating how to use the tidymodels packages. If you are a tidymodels user, either just starting out or someone who has used the packages a lot, we are interested in your feedback on our priorities for 2022. The survey we fielded last year turned out to be very helpful in making decisions, so ...
3082 sym R (6953 sym/13 pcs) 8 img
Spatial resampling for #TidyTuesday and the #30DayMapChallenge
This is the latest in my series of screencasts demonstrating how to use the tidymodels packages, from just getting started to tuning more complex models. Today’s screencast walks through how to use spatial resampling for evaluating a model, with this week’s #TidyTuesday dataset on geographic data. ? Here is the code I used in the video, f...
3126 sym R (3378 sym/8 pcs) 6 img
Predicting viewership for #TidyTuesday Doctor Who episodes
This is the latest in my series of screencasts demonstrating how to use the tidymodels packages, from just getting started to tuning more complex models. Today’s screencast walks through how to handle workflow objects, with this week’s #TidyTuesday dataset on Doctor Who episodes. ? Here is the code I used in the video, for those who prefe...
3589 sym R (4437 sym/7 pcs) 4 img
Topic modeling for #TidyTuesday Spice Girls lyrics
This is the latest in my series of screencasts, but instead of being about tidymodels, this screencast focuses on unsupervised modeling for text, specifically topic modeling. Today’s screencast walks through how to build a structural topic model and then how to explore and understand it, with this week’s #TidyTuesday dataset on Spice Girl...
3617 sym R (8204 sym/14 pcs) 4 img