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Preventing Overfitting with Few Samples

Medium
MediumModel EvaluationCross-ValidationBias-Variance TradeoffRegularizationAsked 1 times

Problem

How do you handle overfitting when working with a dataset that has high dimensionality but very few samples at AbbVie?

Practicing as: Machine Learning Engineer interview at AbbVie

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