This repository contains the implementation of an email spam/ham detection project. The goal is to classify emails as either spam or ham (non-spam) using machine learning techniques. Email spam ...
SPAM filtering is available on the email system at Purdue University. For more information read Frequently Asked Questions about Spam Filtering. Purdue IT has developed the following best practices to ...
We want to check that email is spam or not through text classification in WEKA. Every day E-mail users receive hundreds of spam messages with a new content, from new addresses which are automatically ...