In this project, we use Python to build an email spam detector and then leverage machine learning to train the spam detector to recognize and classify emails into spam and non-spam. Let's get started!

Automated spam detection is a prevalent use case that involves the filtration and identification of unsolicited or undesirable messages, specifically spam comments or spam emails With the advent of ...

This research presents a machine learning-based approach for spam email detection using TensorFlow Extended. The main goal is to develop an effective and efficient pipeline to differentiate between ...

Google reports Gmail is blocking 100 million extra spam emails per day following the implementation of Tensorflow, its open source, machine-learning framework, to supplement existing spam detection.

Machine learning methods of recent are being used to successfully detect and filter spam emails. We present a systematic review of some of the popular machine learning based email spam filtering ...