Answer / Amit Rawat

To manage an imbalanced dataset, techniques like SMOTE (Synthetic Minority Over-sampling Technique) and SMOTE-ENN can be used for over-sampling the minority class. Under-sampling the majority class or applying cost-sensitive learning, class weighting, and ensemble methods are other strategies to address this issue.

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