Churn Prediction Projects for ME, MTech, Masters, MS abroad, and PhD students. These Churn Prediction ieee projects are implemented with future work and extension for final year students with research paper writing and publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.
Latest Churn Prediction Projects
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A Big Data-Driven Hybrid Model for Enhancing Streaming Service Customer Retention Through Churn Prediction Integrated With Explainable AI
This project focuses on predicting which customers are likely to stop using a streaming service. It studies how people use the service and applies smart computer models to find early warning signs of leaving. The system combines deep learning and machine learning to make accurate predictions. It also helps businesses understand why customers might leave so they can take steps to keep them. -
A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners
This project studies how machine learning helps businesses predict and reduce customer loss. It reviews past research and shows that using customer behavior and interaction data improves prediction. It also suggests using deep learning and explainable AI for better results.
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