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Where class distribution is uneven, mastering the handling of imbalanced data is a professional requirement. Learn the mechanics of resampling, cost-sensitive learning, and evaluation metrics that go beyond simple accuracy. This guide provides the technical skills to balance your models and produce highly accurate and valid results.