Talk for the machine learning reading group of the department of biostatistics at the Colorado School of Public Health, University of Colorado, Anschutz Medical Campus.
tidymodels is a “meta-package” for modeling and statistical analysis that share the underlying design philosophy, grammar, and data structures of the tidyverse
This talk looks at incorporating the new tidymodels suite of packages
into your machine learning workflow and specifically covers
rsample, recipes,
tune, dials, parsnip, yardstick and workflow.
It is not a tutorial for supervised learning.
It assumes you know how and why to split your data, resample, up/down sample,
tune parameters, evaluate models etc.