MATLAB Implementation of SVM Algorithm with Classification Visualization

This project implements a Support Vector Machine (SVM) algorithm in MATLAB, performing binary classification between two distinct point classes and presenting graphical visualization of the classification results. The implementation includes key SVM components such as kernel function selection, optimization using quadratic programming, and margin calculation.