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The goal of this project is to develop a predictive model that can accurately estimate the medical insurance premium for potential policyholders. By accurately predicting premiums, the insurance company can provide more precise quotes to customers, leading to better customer satisfaction and improved financial planning for the company.
This project explains on how to build a machine learning algorithm for calculating the medical insurance costs. Check out my video on this topic for the complete video explanation.
Predicting the medical costs charged by health insurers
In this project, I embarked on an exploratory journey through a dataset of U.S. medical insurance costs, aiming to uncover insights into the factors that influence these costs.
Project to analyze and forecast medical insurance costs of patients using data science framework.