Effective Resampling for Machine Learning in Tidymodels {rsample} R package reviews

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.

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