Customer churn remains a huge issue for telcos. Could AI actually help? Customer churn remains one of the telecom industry’s most persistent and expensive problems. Annual churn rates typically land ...

Abstract: Uplift Modeling can be an effective machine learning method when identifying the potential customers who have the highest possibility of creating a positive impact on the marketing ...

Abstract: In this study, a predictive model was developed using machine learning techniques to forecast customer churn in subscription-based video streaming services. The data such as user login ...

This project focuses on predicting customer churn for a telecommunications company using machine learning models. The dataset contains various features such as customer demographics, service usage, ...

ABSTRACT: Keeping customers satisfied is truly essential for saying that business is successful especially in the telecom. Many companies experience different techniques that can predict churn rates ...

This project aims to build a predictive model to identify bank customers at high risk of churning (i.e., closing their accounts). By leveraging machine learning techniques and customer profile data, ...