The Credit Card Churn Predictor is a powerful machine learning tool that helps businesses forecast and prevent customer churn in their credit card services. Customer churn occurs when credit cardholders close their accounts, potentially leading to revenue loss and increased acquisition costs for the business. This project leverages advanced machine learning techniques to identify patterns and predict which credit card customers are likely to churn based on historical data.
Churn Prediction: Utilizes a pre-trained machine learning model to predict which customers are at risk of churning, allowing proactive retention efforts.
User-Friendly Interface: Offers an intuitive Streamlit-based web interface for easy interaction, making it accessible to users with varying levels of technical expertise.
Data Analysis: Includes a comprehensive Jupyter Notebook for in-depth data analysis, enabling a deep dive into the dataset and model training.
Customizable: Open-source and highly customizable to adapt to specific business needs, datasets, and use cases.
Open Source: This project is open source, encouraging collaboration and contributions from the community to improve and extend its functionality.