Projects/CSE (DS)/Customer Churn Prediction & Lifetime Value Analytics Pipeline
CSE (Data Science Specialization)Major Final Year Project
Customer Churn Prediction & Lifetime Value Analytics Pipeline
Project Overview & Abstract
Tailored for CSE (Data Science) & AI&DS students. Analyzes 50,000+ telecom customer records to predict customer churn risk probability. Includes feature engineering scripts, model evaluation metrics (ROC-AUC, Precision-Recall), SHAP interpretability charts, Streamlit web app, and 45-page Word document report.
Technologies & Tools Used
PythonXGBoostSHAPPandasStreamlitScikit-Learn
Deliverable Package File Contents
Source Code ZIP Archive
Complete executable project folder with all scripts & configuration.
IEEE Project Report (.docx & PDF)
Includes Abstract, Literature Survey, System Design, Data Flow, Test Cases, and References.
PPT Presentation Deck (.pptx)
Ready 15-20 slide presentation deck formatted for university viva evaluation.
Complete Deliverables PackageVERIFIED
Source Code, IEEE Report & PPT
Direct WhatsApp Order • Instant Deliverables & SupportStudent Sign In required to place order • Instant WhatsApp Delivery
Verified Source Code (ZIP)
Formatted IEEE Project Report (.docx/PDF)
Seminar PPT Presentation
Execution Video & Setup Guide
Direct WhatsApp Delivery • Instant Chat at +91 73823 24346