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Three reasons to use tidymodels

Resources for Tidymodels w/ R meetup | Feb 17, 2022

Julia Silge, data scientist and software engineer, RStudio PBC
Date: Thu, Feb 17, 2022
Time: 6–7p EST
Location: Zoom | Please RSVP here and follow the registration instructions to receive the Zoom details.

About the speaker

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. Julia loves text analysis, making beautiful charts, and communicating about technical topics with diverse audiences.

Website: https://juliasilge.com/
Twitter: https://twitter.com/juliasilge
Presentation material

About the meetup

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 collection of packages offers a consistent, flexible framework for your modeling and machine learning work to address these problems. In this talk, speaker Julia Silge will focus on three specific reasons to consider using tidymodels. She will start with model characteristics themselves, move to the wise management of your data budget, and finish with feature engineering.

About RLEL

R-Ladies East Lansing (RLEL) is a chapter of R-Ladies Global, an organization whose mission is to promote gender diversity in the R programming community. All genders are welcome at RLEL meetups, and participants must follow the R-Ladies code of conduct.

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