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Performed exploratory data analysis on a health insurance dataset to uncover correlations between features such as age, gender, BMI, smoking status, and insurance charges.
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Trained a regression model to accurately forecast a client's insurance charges based on demographic and health-related factors including age, BMI, smoking status, gender, and region.
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Built an interactive web application using the Dash framework, integrating Python libraries such as Pandas, NumPy, Plotly, and Scikit-learn for data processing, visualization, and machine learning.
