Abstract: This study proposes an innovative pipeline for customer churn prediction in the telecommunications sector, integrating resampling, ensemble learning, and interpretability with fairness ...

An end-to-end Machine Learning web application that predicts customer churn using Scikit-learn and serves real-time predictions through a Django REST API with a web-based UI.

You know that cliché in movies when the camera zooms in on a character who says, “It’s coming,” before someone else dramatically replies, “It’s already here”? Prediction markets are a bit like that in ...

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 ...

An end-to-end automated machine learning pipeline with real-time dashboard for predicting customer churn in banking. Built with Apache Airflow, scikit-learn, and Dash. Customer churn (customer ...

Abstract: Customer churn, the phenomenon of customers terminating their subscription or services with a telecom provider, poses a significant challenge in the telecom industry. Predicting customer ...

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 ...