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  1. medical-insurance-predictor medical-insurance-predictor Public

    Medical insurance cost prediction using a comparative analysis between optimized Decision Tree and Random Forest models.

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    A comprehensive implementation of Multiple Linear Regression using NumPy, featuring Vectorization, Z-score Normalization, and L2 Regularization.

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    A comprehensive implementation of Logistic Regression using NumPy, featuring Vectorization, Z-score Normalization, Gradient Descent, and L2 Regularization.

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