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Support Vector Machine (SVM) Classifier with Hyperparameter Tuning
Implementation of SVM classification with grid search for optimal hyperparameters using the breast cancer Wisconsin dataset.
SVM is a supervised machine learning algorithm that finds the optimal hyperplane that separates classes with the maximum margin.
Reference: https://en.wikipedia.org/wiki/Support_vector_machine