Breast Cancer Classification Project

Built a machine learning model to classify breast cancer tumors as benign or malignant using real medical datasets. The workflow included data preprocessing, feature selection, and applying supervised learning algorithms (Logistic Regression, Decision Trees, Random Forest, and SVM). Evaluated models with accuracy, precision, recall, and F1-score to ensure reliable predictions. Delivered a scalable and efficient solution that demonstrates the potential of AI in healthcare diagnostics