Support Vector Machine, Machine Learning, Classification, Deep Learning, Hands On Tutorials.
transform the new data points into the same transformed space using the RBF kernel. Then, project the transformed new data points onto the hyperplane and classify them based on their sign. In summary, SVMs find the optimal decision boundary by transforming the data into a higher-dimensional space