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  1. I wrote up a little blog post comparing the runtime and memory allocation of how we used to create dummy variables with the new sparse support I added in tidymodels

    emilhvitfeldt.com/post/sparse-

  2. Happy to share that {recipes} has a new release with many new features and all known bugs exterminated!

    tidyverse.org/blog/2025/04/rec

  3. We heard from the community that CatBoost is the way do go. We listened and learned! here is the first batch of updated hexes for

  4. One of the exciting parts of the new sparse data tidymodels work, is that {textrecipes} can now be used as a reproducible way to generate DTM, tf-idf etc etc

  5. I'm beyond excited to finally announce my new book "Feature Engineering A-Z" 🎉

    The vision for the book is to be a comprehensive collection of feature engineering methods. Describing how they work, when and why you should and shouldn't use it. Code snippets in both R and Python!

    I have been working on this project over the last couple of years. Please read it if this interests you! Always looking for feedback!

    feaz-book.com/

  6. All the talks are now on Youtube 🎉

    They are all great, and if you missed mine you can find it with the following link! Also linked are slides and source code

    emilhvitfeldt.com/talk/2023-09
    youtube.com/watch?v=CblUFMoC9yg