Support Vector Machine, Machine Learning, Classification, Deep Learning, Hands On Tutorials.
work by finding the optimal decision boundary that best separates different classes of data points. The key components involved in SVMs are the decision boundary, the Kernel matrix, and the Radial Basis Function (RBF). Let’s explain how these components work together to classify data points. SVM