DhruvalVakil/Cervical-Cancer-Prediction
Developed an end-to-end machine learning pipeline to predict cervical cancer risk with 95% accuracy using biopsy-based tabular data. This project implements feature engineering, exploratory data analysis, and robust model evaluation using AUC-ROC and F1-score metrics to support healthcare decision-making.
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Mar 16, 2026
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