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SMOTE Explained with Example | Handling Imbalanced Data in Data Science | Oversampling Technique #ai

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SMOTE Explained with Example | Handling Imbalanced Data in Data Science | Oversampling Technique #ai

In this video, I explain **SMOTE (Synthetic Minority Oversampling Technique)** — one of the most widely used methods for **handling imbalanced datasets** in Data Science and Machine Learning. Real-world datasets like **fraud detection, medical diagnosis, and churn prediction** often suffer from severe class imbalance. Traditional models ...

687 views4 months ago

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