roshancyriacmathew/Medical-insurance-cost-prediction-using-linear-regression
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.
This tool helps insurance professionals estimate an individual's medical insurance costs. By inputting details like age, gender, BMI, number of children, smoking status, and region, it predicts the likely medical charges. It is designed for actuaries, underwriters, or insurance agents who need to quickly calculate potential insurance costs.
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Use this if you need a straightforward way to predict medical insurance costs based on key personal and health factors.
Not ideal if you require a highly complex model incorporating a vast array of proprietary health data or intricate risk factors beyond basic demographics.
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Jun 14, 2022
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