Cross-Validation in Machine Learning

In this video, we’re going to cover train, validation and test splits which are a basic step for machine learning as well as cross validation, including nested cross-validation, k-fold cross validation and stratification! Let's dive in!
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0:00 Intro to train test split
2:28 Why do we need to split our datasets?
3:19 Hold-out method: train, validation and test sets
6:10 Cross-validation
7:36 K-Fold cross-Validation
8:30 Leave-One-Out cross-Validation
9:30 Nested cross-validation
19:13 Sponsor: NoahAI
23:10 Stratified cross-validation
25:20 Outro

Видео Cross-Validation in Machine Learning канала Biostatsquid