Tune and evaluate a decision tree model with Scooby Doo episodes

[alelust]

Julia, please do a Bayesian analysis demo with tidymodels! TKS!

[esportsPathos]

Hey Julia, thanks for the great content as always. Will you do reactive Shiny tidymodels with reactive recipes next, please?

[ianmutwiri]

I aint yet started learning the tidymodels but watching Julia's screencasts makes me feel like I'm ready to go!

Thank you so much teacher

[malirk]

Great visualization at 33:00! Just watching through right now but had to skip ahead to the awesome visualization.

[manueltiburtini]

Amazing work! you're so inspiring, thanks for sharing!

[mkklindhardt]

Great video! Once again, thank you Julia 👏

[mkklindhardt]

Julia, it would be great if you could do one of these cool screencasts with the new #TidyTuesday US Drought Monitor :)

[flonga]

Is using the Bootstrap resamples different than training a bag_tree() with the baguette package?

[zegpi]

Great video. Appears to me that the parttree package doesn't work with more than 2 predictors.

[zornslemmon]

This was very informative; thank you. I noticed a typo/inconsistency in your case_when statement (around 11:50) where you were converting TRUE/FALSE to "real"/"fake". You noted that monster_real was a character so you quoted FALSE, but you forgot to quote "TRUE". In the end it didn't seem to matter. Does R treat the character "FALSE" or "TRUE" as logical and vice versa in the appropriate context?

[haraldurkarlsson]

Julia,
In this example did you just use a plain vanilla decision tree? No random forest or boosted trees? Perhaps those would fair better.