Learn how to train, explore, and understand an unsupervised topic model for text data.
Using a tidymodels workflow can make many modeling tasks more convenient, but sometimes you want more flexibility and control of how to handle your modeling objects. Learn how to handle resampled workflow results and extract the quantities you are interested in.
Use spatial resampling to more accurately estimate model performance for geographic data.
Get started with tidymodels workflowsets to handle and evaluate multiple preprocessing and modeling approaches simultaneously, using pumpkin competitions.
Tune and evaluate a multiclass model with lasso regulariztion for economics working papers.
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