SVM-Classification-from-Scratch

A basic project to build the classification model with SVM (Support Vector Machine). At first approximation, SVM finds a seperating line, more generally called a hyperplane between data of the two classes. Support Vector Machine (SVM) is a powerful tool of supervised learning. We can use it to make classification and regression analysis.

Parameters Tuning:

Parameters are arguments passed when we create our classifier.

In SVM, we have basically three parameters:

• Kernel
• C (regularization factor)
• Gamma (Γ)