Predicting Customer Interest in Vehicle Insurance for an Insurance Company

We were approached by an insurance company that wanted our help in predicting whether their policyholders from the past year would be interested in their vehicle insurance offerings. Our team analyzed the provided data which included unique customer IDs, gender, age, driving license status, and region codes. We used this information to build a predictive model that could help the company target potential customers more effectively.