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Convert statistical analysis objects from R into tidy format
R 1.5k 305
Easily install and load the tidymodels packages
R 795 72
An R package for tidyverse-friendly statistical inference
R 761 82
A tidy unified interface to models
R 626 94
Code and content for "Tidy Modeling with R"
RMarkdown 615 309
Pipeable steps for feature engineering and data preprocessing to prepare for modeling
R 599 117
Tidy tools to apply filter-based supervised feature selection methods
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Tools for Measuring Predictor Importance
Website and materials for tidymodels workshops
Modeling Workflows
Iterative Steps for Postprocessing Model Predictions
High-Level Modeling Functions with 'torch'
Wrappers for discriminant analysis and naive Bayes models for use with the parsnip package
Desirability Functions for Multiparameter Optimization
Data Sets Used by tidymodels Packages
Run models inside a database using R
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