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Breast Cancer Classification — Wisconsin Diagnostic ML Pipeline
Machine Learning · Scikit-learn · Streamlit · pytest · WDBC dataset
An end-to-end classification pipeline that predicts whether a breast mass is malignant or benign from 30 cell-nucleus measurements in the Wisconsin Diagnostic Breast Cancer dataset, with an interactive Streamlit app for exploring held-out cases. Built for education and research only, not for clinical use.
View project / source code