3 Reasons to Use Tidymodels with Julia Silge

This is a recording of a virtual seminar on '3 Reasons to use Tidymodels' by Julia Silge! The event took place July 13, 2023 and was hosted by R-Ladies Philly and R-Ladies DC.
Thank you, Julia, for the wonderful talk!
Talk description:
Modeling and machine learning in R involves a bewildering array of heterogeneous packages, and establishing good statistical practice is challenging in any language. The tidymodels collection of packages offers a consistent, flexible framework for your modeling and machine learning work to address these problems. In this talk, we’ll focus on three specific reasons to consider using tidymodels. We will start with model characteristics themselves, move to the wise management of your data budget, and finish with feature engineering.

[@joseoviedo4529]

As a new AI/ML practitioner trying to future-proof my skill set as best I can you provided a good argument for why someone should consider the Tidymodels collection as a foundational part of their AI/ML pipeline. Thank you

[@haraldurkarlsson1147]

Very nice presentation. A nice package for time series is fpp3. It is tidyverse friendly.

[@aaronphilipp1015]

Great package!

[@ghettoghost2657]

Great content

[@meinmiami1035]

Does anybody have the links she added to the chat? I would love to know the R markdown tidymodels blog post that she mentioned around 1:21:10.