Since the beginning of the electronic mailing era, one of the most doubted subjects people have raised is the difference between a spam mail and a ham mail. The mail received by the user is a spam or ham, on what basis they are being put under the respective category and how the classification can be made more accurate over the upcoming years. Machine learning is currently the most needed technology which is being applied to every enterprise in the world. The abundance of the data from the former years is now being used with a variety of machine learning algorithms to train the classifier and predict the result of a mail being a spam or a ham.