In this video, we'll learn how to use three most important resampling techniques: train-test split, cross-validation and bootstrapping. Random sampling, stratified sampling for numeric and categorical variables. What is not in the video are grouped resampling and time specific resampling, they deserve a separate video each.
If you only want the code (or want to support me), consider join the channel (join button below any of the videos), because I provide the code upon members requests.
Enjoy! 🥳
Welcome to my VLOG! My name is Yury Zablotski & I love to use R for Data Science = "yuzaR Data Science" ;)
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