Evaluating ML Performance, Resampling, and Workflows in "tidymodels" | R Tutorial (2021)

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  • Опубликовано: 28 окт 2024

Комментарии • 6

  • @KN-tx7sd
    @KN-tx7sd 2 года назад

    Many thanks, Richard, can I request if you can explain how we go about a continuous variable e.g., weight, age, etc instead of the discrete variable as the outcome. greatly appreciated.

  • @square007tube
    @square007tube 3 года назад

    Awesome 👏, thanks 🙏

  • @hungcheung888
    @hungcheung888 2 года назад +2

    Your caret tutorials were a pleasure, but this is a terrible slog. The script is nonsensical. Your tutorials are always excellent but I can see even you are jumping through more hoops in an attempt to make it more understandable. I'm going to see it through to part 3 though just to get the full picture.

    • @RichardOnData
      @RichardOnData  2 года назад

      I'm sorry to hear that! I really like tidymodels and for me it took a little while, but once it did it really clicked - but no package is for everyone.

    • @hungcheung888
      @hungcheung888 2 года назад +1

      @@RichardOnData indeed, I'll keep an eye on how tidymodels develops. I inadvertently got a lot more from these caret/tidymodels videos than just the package. Some background, I've been using R for a few years. When I started I was overwhelmed by the package choice, so when faced with the "tyranny of choice" I chose nothing, I did everything in Base R wherever possible (and stubbornly so). I only found your videos because I wanted to know more specifically about caret (as other ML practitioners I know were using it). However, your enthusiasm for the tidyverse, made me give your tidyverse series of videos a go (btw excellent!, in your next life/career you should be a teacher). In short, I came here for the caret, but left with the tidyverse. Many thanks