The demo presented by Olawale aims to address the common issue of imbalanced data in medical science, where the minority class (disease cases) is significantly smaller than the majority class (non-disease cases). Olawale will demonstrate various resampling methods, including oversampling, undersampling, and hybrid sampling, to balance the data and improve the performance and reliability of machine learning models in disease diagnosis and prediction.
Main Sections
00:00 Introduction
00:49 Challenges of Imbalanced Data in Medical Science
03:53 Demonstration of Resampling Methods
53:33 Q&A
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