/DealingWithImbalancedData

This project aims to show you the different strategies to mitigate the imbalanced data issue by combining different approaches to resampling data (undersampling, oversampling, and hybrid sampling) and different machine learning algorithms and visualizing the results in order to choose the performest approaches. I highly recommend reading the ppt file to understand better and have an idea about the newest approaches.

Primary LanguageJupyter Notebook

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