The final release of TensorFlow v1.3 is now available. This release marks the initial availability of several canned estimators including DNNClassifier and DNNRegressor
Website and materials for tidymodels workshops
Version, share, deploy, and monitor models
Boilerplate Code for tidymodels
Windows/macOS/Linux binaries and installation methods of TinyTeX
A pkgdown template for core tidyverse packages
R interface for XGBoost on Spark
Automated testing for shiny apps
rstudio::conf(2022, “program”)
A guide to some of the most useful R Packages that we know about
Helper functions for modelling
Course contents for Master the Tidyverse
Local Interpretable Model-Agnostic Explanations (R port of original Python package)
Learn tidymodels with interactive learnr primers
Customer Churn Shiny Application
Quantify extrapolation of new samples given a training set
The most recent version of the Applied Machine Learning notes
Repository for the RStudio AI Blog (formerly: TensorFlow for R Blog)
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