Flash floods are among the deadliest weather events in the world, killing more than 5,000 people each year. They’re also among the most difficult to predict. But Google thinks it has cracked that ...

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 ...

The romance industry, always at the vanguard of technological change, is rapidly adapting to A.I. Not everyone is on board. By Alexandra Alter Last February, the writer Coral Hart launched an ...

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 ...

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 ...