Authors :
Ritik Singh; Rahul Tyagi; Tushar Chaudhary
Volume/Issue :
Volume 6 - 2021, Issue 5 - May
Google Scholar :
http://bitly.ws/9nMw
Scribd :
https://bit.ly/2SDsoNp
Abstract :
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
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
