Spam Mail Detection System using Logistic Regression 1. Introduction : Email spam , also called junk email, is unsolicited messages sent in bulk by email (spamming). The name comes from Spam luncheon meat by way of a Monty Python sketch in which Spam is ubiquitous, unavoidable, and repetitive . In this article I will show you how to create your very own program to detect email spam using a Machine Learning technique called Logistic Regression. Before we start talking about the algorithm and the code, take a step back and try relating that simple explanation of spam detection with monthly active Gmail account(which is approximately 1 billion). Lets take a look over steps of my experimentation. 2. Steps of my Experimentation : Data Acquisition and Data Pre-Processing : I have took dataset from kaggle. It has tagged email that have been collected for Spam research. It contains one set of messages in English of 5,574 emails, tagged according being legitimate(ham) or spam....