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This project focuses on predicting individual medical insurance charges using demographic, lifestyle, and health-related variables. The workflow includes Exploratory Data Analysis (EDA), interactive data visualization using Streamlit, and Machine Learning model development to accurately estimate healthcare costs.
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10
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