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[MINI] Cross Validation
Data Skeptic
Cross-Validation in Machine Learning
The hosts discuss the concept of cross-validation, which involves partitioning data into subgroups for testing and training. They emphasize the importance of cross-validation when data is limited or new data is hard to find, and clarify its use for historical analysis or predictions.
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