Customer Churn Prediction Using Composite Deep Learning Technique

Deep learning (DL) is a new discipline of computer science that extracts patterns from past data and makes accurate predictions using feature embedding methods. DL has been used successfully in a variety of fields, including stock price forecasting, personality recognition, disease prediction, text categorization, and others. There is considerable interest in using DL to assist companies in accurately forecasting customer churn from historical data. As a result, it is critical to conduct research and use advanced DL approaches to customer data in order to accurately assess customer churn.