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Please join us July 13th for a virtual seminar on '3 Reasons to use Tidymodels' by Julia Silge!

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.

All members who RSVP and attend the event will be entered into a raffle and 3 winners will be chosen to receive a free eBook or hard copy of Tidy Modeling with R by Julia Silge and Max Kuuhn (2022)

Big Data
Data Analytics
Predictive Analytics
Data Management
Open Source

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