breast cancer SVM classification

This project demonstrates an end-to-end implementation of Support Vector Machines (SVM) for breast cancer classification. It includes preprocessing, exploratory data analysis, feature selection, kernel comparison, hyperparameter tuning with Grid Search, performance analysis, and robustness evaluation using noisy and overlapping data.