Predicting Customer Interest in Vehicle Insurance Based on Health Insurance History

This project aims to help an insurance company predict whether their past year's health insurance customers would also be interested in purchasing vehicle insurance from them. By using machine learning algorithms and analyzing customer data, the model can accurately predict which customers are more likely to be interested in vehicle insurance, enabling the company to tailor their communication strategy and improve their cross-selling efforts. Possible search keywords: "insurance cross-selling prediction," "health insurance customer data analysis," "vehicle insurance customer acquisition," "machine learning in insurance industry."