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Solid refresher from KDNuggets on the three issues that quietly wreck ML models: overfitting, class imbalance, and feature scaling. Nothing groundbreaking, but the kind of practical checklist every practitioner should revisit before debugging for hours

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Avoiding Overfitting, Class Imbalance, & Feature Scaling Issues: The Machine Learning Practitioner’s Notebook

Machine learning practitioners encounter three persistent challenges that can undermine model performance: overfitting, class imbalance, and feature scaling issues.

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