A tidymodels approach to the Introduction to Statistical Learning learning labs, exploring class imbalance on the TidyX video series, and encrypting and hosting a R Markdown report. Episode Links This week's curator: Ryo Nakagawara (@RbyRyo (https://twitter.com/R_by_Ryo)) ISLR: tidymodels labs (https://emilhvitfeldt.github.io/ISLR-tidymodels-labs/index.html): This book aims to be a complement to the 1st version An Introduction to Statistical Learning book with translations of the labs into using the tidymodels set of packages. TidyX Episode 59: MLB Pitch Classification - Class Imbalance and Model Evaluation (https://www.youtube.com/watch?v=6-y1iEbDQVs) Encrypt and host a knitted R Markdown file (https://www.rostrum.blog/2021/05/07/encrypted-rmd/) Entire issue available at rweekly.org/2021-W20 (https://rweekly.org/2021-W20.html) Supplemental Resources An Introduction to Statistical Learning (https://www.statlearning.com) and The Elements of Statistical Learning (https://web.stanford.edu/~hastie/ElemStatLearn/) official sites with links to download each. TidyX MLB Pitch Classification playlist (https://www.youtube.com/playlist?list=PLdb0LTjA9iQxP4vsD87_yNUfPnQxBjE-s) My appearance on TidyX episode 32 (https://www.youtube.com/watch?v=c7dZqyhd4a4) {encryptedRmd} (https://github.com/dirkschumacher/encryptedRmd): Password protected markdown HTML reports in R using libsodium libsodium (https://doc.libsodium.org/) encryption library