Intro to machine learning in R with "tidymodels" | R Tutorial (2021)
Вставка
- Опубліковано 15 жов 2024
- Subscribe to RichardOnData here: / @richardondata
Patreon: / richardondata
GitHub: github.com/Ric...
Caret tutorial series:
Part 1: • Preprocessing Data in ...
Part 2: • Feature Elimination an...
Part 3: • Training and Tuning ML...
Part 4: • Creating ROC curves an...
In the previous tutorial series, we walked through the "caret" package in R for machine learning. We used the raw "GermanCredit" dataset, performed a brief exploration of it, and used the package to walk through a variety of steps: pre-processing, removing low information features, tuning hyperparameters, correcting for class imbalance, and summarizing results based on metrics we deem important. Where possible, we will perform the exact same exercise here, except we will use the "tidymodels" suite of packages to do so.
There are a few sources from which this tutorial draws influence and structure.
"Tutorial on tidymodels for Machine Learning": hansjoerg.me/2...
"Tidymodels: tidy machine learning in R": www.rebeccabart...
"Caret vs. tidymodels - comparing the old and new" by Konrad Semsch: konradsemsch.n...
"Tidy Modeling with R" by Max Kuhn and Julia Silge: www.tmwr.org/
Recursive feature elimination example by Max Kuhn: github.com/ste...
Documentation for "stacks": stacks.tidymod...
didn't know about "Generate parsnip model specifications" that is really helpful specially in beginning.
It really is, and so easy to miss!
Awesome video as always Richard, this a really helpful introduction. That addin definitely saves a lot of time
Absolutely! It's a really nice feature!
Great tutorial! I'm happy that I found you on YT ;)
Welcome aboard!
ahh yes the long awaited tidymodels tutorial
It took me way too long, but it's coming!
why setseed in Create a recipe chunk?
Do you think that Tidymodels is better than Caret?
Wonderful tutorial !! Could you please make a tutorial on ML on spatial continuous, numerical data
Excellent !!
Thank you! Cheers!