Handling Imbalanced Datasets

Oversampling, Undersampling, and SMOTE In the world of machine learning, data is rarely perfect. One of the most common challenges you’ll face is class imbalance. Imagine you’re trying to train a model to detect fraudulent transactions. Out of 10,000...