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* **Example 3: Customer Churn Prediction:** You're building a model to predict customer churn. You have various features like demographics, purchase history, and website activity. Some of these features might be more important than others. Using Elastic Net could be beneficial here as it combines both L1 and L2 regularization. It can help identify the most important features contributing to churn while also handling potential correlations between features like purchase frequency and recent website visits.
