Today, if you are living a life in this world, email plays an important role in your life for communication. And due to its advantages like low cost, speed etc, a lot of people use it for advertisement of thier products . And that type of emails are called as spam email. And there are many method in market to differentiate spam email from ham email. Machine Learning algorithm used for some of the effective method.In this exploration, we will test Naive Bayes calculation for email spam classification based on two datasets and test its exhibition. First we are going to analyze by using a spam image dataset . And after that test the performance on the basis of SPAMBASE datasets

Keywords : Component, Formatting, Style, Styling, Insert