🔍 Customer Churn Prediction for Banking Professionals This project leverages machine learning to predict customer churn, analyze risk factors, and help banking professionals retain valuable customers through personalized engagement strategies. Key features include advanced churn prediction models, risk factor explanations, tailored emails
AI-powered customer churn prediction tool for eCommerce businesses. Built with Streamlit, featuring interactive visualizations, multi-format exports, and sample datasets.
This project is a data-driven dashboard designed to help Santander Bank analyze customer churn and implement an early warning system to identify at-risk customers. The app integrates machine learning models for churn prediction and customer segmentation, providing actionable insights for retention strategies.
Predict customer churn risk with ChurnChaser, an AI-driven web app that helps eCommerce businesses analyze retention patterns and improve customer loyalty. 🐙
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