Understanding Imbalanced Data In Machine Learning Undersampling Oversampling Smote

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  • Imbalanced Data
  • Whenever we do classification in ML, we often assume that target label is evenly distributed in our
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  • A visual example of
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Detailed Analysis of Imbalanced Data In Machine Learning Undersampling Oversampling Smote

Credit card fraud detection, cancer prediction, customer churn prediction are some of the examples where you might get an ... Imbalanced data In this video, we discuss the class

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