Support Vector Machine as a Novel Regression Approach

Support Vector Machine serves as an innovative regression method, particularly effective for nonlinear patterns. This implementation provides nonlinear regression capabilities using SVM with kernel functions and optimization algorithms to handle complex data relationships.