Built different models to predict the risk for Prudential Life Insurance to its possible applicants based on their medical history
The main task is to categorise the applicant of health insurance into different risk categories based on their medical, employment and family history. The process involves processing the existing data and finding relevant info which can be useful to build machine learning model to categorize the risk factor.