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Breast Cancer Prediction System | Machine Learning Project

Developed a Machine Learning model for breast cancer prediction and classification using medical diagnostic data. The project focuses on analyzing patient features, preprocessing datasets, training predictive models, and evaluating performance to support early detection and data-driven medical insights. Implemented data visualization, feature analysis, and model evaluation techniques to improve prediction accuracy and reliability.

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