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Imbalanced Datasets - Detailed Analysis & Overview
Credit card fraud detection, cancer prediction, customer churn prediction are some of the examples where you might get an ... In this video, you will be learning about how you can handle What do you do when your data has lots more negative examples than positive ones? Link to Code ... Silly Song 0:00 Question - What do we do with Don't miss out! Get FREE access to my Skool community — packed with resources, tools, and support to help you with Data, ... In this video, we cover how to handle imbalanced data in classification-type machine learning problems.
Most machine learning algorithms are designed to train on balanced