Published Paper Details:

Health insurance is insurance that covers the whole or a part of the risk of a person incurring medical expenses, spreading the risk over numerous persons. By estimating the overall risk of health care and health system expenses over the risk pool. Most health insurance plans encompass each inpatient and outpatient covers the grounds that injuries and extended infection while overseas may be extraordinarily highly-priced and very stressful. In this paper, we are Predicting the Insurance Claim of each user. This observes the cost of healthcare for a sample of the population given smoking habits, age, sex, body mass index, and region. The data features observations of statistical information and regression analysis of the dataset. The goal is to predict the best estimator of insurance charges using machine learning algorithms. Machine Learning algorithms for Regression analysis and Random Forest Regression analysis are used and Data Visualization is also performed to support Analysis.