Data Science – How To Handle Data Imbalance? Table Of Contents: Resampling Techniques. Class Weighting. Algorithmic Approach. Evaluation Metric Adjustments. Data Augmentation. Anomaly Detection Approach.  (1) Resampling Techniques Types Of Resampling Techniques: When To Use Which Sampling Techniques ? (2) Class Weight Balance Technique Python Implementation When To Use Class Weight Technique: (3) Algorithmic Approach Of Handling Class Imbalance. (4) Evaluation Metric Adjustments. Can We Use ROC – AUC for Imbalanced Class ? (5) Data Augmentation Techniques to Handle Class Imbalance Common Data Augmentation Techniques for Imbalanced Data

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