R-Ladies Bucharest #16: Julia Silge - Three reasons to choose Tidymodels

Join us for a new session on the 23rd of March, 7PM EET ! We continue our meetups with #goodRvibes and a speaker you'll definitely enjoy!

Three reasons to use tidymodels with Julia Silge

Modeling and machine learning in R involve a bewildering array of heterogeneous packages, and establishing good statistical practice is challenging in any language. The tidymodels (tidymodels.org) 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.

Julia Silge is a data scientist and software engineer at RStudio PBC where she works on open source modeling tools. She is an author, an international keynote speaker, and a real-world practitioner focusing on data analysis and machine learning practice. Julia loves text analysis, making beautiful charts, and communicating about technical topics with diverse audiences.

Registration is free, but mandatory via meetup. We shall meet on zoom, and the link will be updated on the day of the event ( PIN for entrance should be sent by email ~2hours before meeting start).

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