intro-to-ml-tidy
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Intro to Machine Learning with the Tidyverse
In the `06-recipes` slides: ![image](https://user-images.githubusercontent.com/5782147/74770671-afe86a00-525a-11ea-8fab-512a97010076.png) I think this should've read `ames_training` instead of just ames. There are a lot of slides before it that use `ames` where it should be...
Right before "Your turn 2" in the 01-prediction slides (https://conf20-intro-ml.netlify.com/materials/01-predicting/) You use the custom `fit_dat` function to fit the lm model ```r lm_spec % # Pick linear regression set_engine(engine =...
uses `ames` instead of `ames_train`
@apreshill, When passing a workflow object to `tune::collect_metrics()` the resulting error message is `Error: All of the models failed.` (see attached example) A more informative error message would remind the...
https://github.com/rstudio-conf-2020/intro-to-ml-tidy/blob/27c7ba19778c0b58375944f984f20cc3f0ecd3a2/materials/exercises/05-Workflows.Rmd#L84
option(scipen=17)
https://github.com/rstudio-conf-2020/intro-to-ml-tidy/blob/27c7ba19778c0b58375944f984f20cc3f0ecd3a2/materials/exercises/05-Workflows.Rmd#L47
This is one of my favorite blog posts that talk about the various regression metrics. https://www.h2o.ai/blog/regression-metrics-guide/