Breast Cancer Diagnosis Prediction

Developed a logistic regression model on the Breast Cancer Wisconsin dataset, achieving 99% accuracy in classifying tumors (Malignant vs. Benign). Applied feature engineering, data preprocessing, and model evaluation with ROC curve and confusion matrix.