Class imbalance is a common challenge in machine learning, where the minority class is underrepresented and often harder to learn accurately. Traditional oversampling methods such as SMOTE can improve ...

This project explores the issue of customer churn in the advertising industry, particularly focusing on the challenges of dealing with imbalanced data. The analysis includes Logistic Regression as the ...