This notebook will walk you through the steps for dealing with an imbalanced dataset using an example of a real project that I recently completed.
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Updated
Mar 8, 2022 - Jupyter Notebook
#
undersampling
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Mostly in Banking domains or credit card use cases, the data for predicting a transaction as fraudulent is extremely low due to less evidence for fraud cases resulting in an Imbalanced Dataset for ML use cases. This notebook deals with 3 techniques of handling such cases.
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Updated
Aug 8, 2021 - Jupyter Notebook
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