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A search for "Imbalanced data" on Google Scholar yields over one million results in total, with approximately 17,000 results since 2023. This raises a question: Is it merely a popular topic for academic papers, or is it a genuine challenge faced in the industry?
This GitHub repository offers a curated list of resources demonstrating how various companies have successfully tackled the challenge of imbalanced data in production settings. This repository is aimed at being an invaluable resource for professionals/researchers/enthusiasts in machine learning and data science dealing with similar challenges.