SVM Spam Classification Overview This project demonstrates the use of Support Vector Machines (SVM) for classifying email messages as either spam or non-spam. The goal is to develop a robust machine ...

Sometimes, spam emails can have malicious content that can affect the user’s computers. Hence, spam classification is an integral part of emails. A substantial number of classification techniques have ...

The 'Hyperplane' is the decision boundary in feature space that separates two classes with the greatest margin. This study aims to visualize SVM hyperplanes between multiple classes in a 3D feature ...

To illustrate how SVM and NN work in ML statistical modeling, let's look at some examples of classification problems and how they can be solved with these methods.

Spam continues to inflict increased damage. Varying approaches including Support Vector Machine (SVM) based techniques have been proposed for spam classification. However, SVM training is a ...