MuhammadSuleman101/Insurance_EDA
This project uses machine learning to predict insurance charges based on factors like age, BMI, smoking habits, and region. It applies models such as Linear Regression and, with data preprocessing and evaluation metrics to improve accuracy and support data-driven decisions in the insurance domain.
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Last pushed
Apr 09, 2026
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