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Jan 31, 2021 · Artificial Intelligence

Mastering Imbalanced Data: Practical Techniques with imbalanced-learn

Learn what imbalanced data is, why it hampers machine learning models, and explore a comprehensive suite of preprocessing strategies—including under‑sampling, over‑sampling (SMOTE, ADASYN), combined sampling, ensemble methods, and class‑weight adjustments—using the imbalanced‑learn library with concrete Python code examples.