This project focuses on breast cancer detection using machine learning to classify tumors as benign or malignant. Using the Breast Cancer Wisconsin dataset, it includes data preprocessing, model training (Logistic Regression, KNN, SVM, Decision Tree, Random Forest), and evaluation to identify the most accurate model.