The medical insurance dataset contains information about a number of factors that can affect medical expenses, including age, sex, BMI, smoking status, number of children, and region. This dataset can be used to train a machine learning model that can predict medical expenses for new customers.
To provide insights into the key factors that contribute to higher insurance costs and help the company make more informed decisions regarding pricing and risk assessment.