ARCHIVES
VOL. 9, ISSUE 2 (2024)
End to end spam classifier with Kaggle dataset and Heroku deployment
Authors
C Radha, L Lokesh, N Prabhu, G Pavithra, R Prathibha
Abstract
Email Spam has become a major problem
nowadays, with Rapid growth of internet users, Email spams is also increasing.
People are using them for illegal and unethical conducts, phishing and fraud.
Sending malicious link through spam emails which can harm our system and can
also seek in into your system. Creating a fake profile and email account is
much easy for the spammers, they pretend like a genuine person in their spam
emails, these spammers target those peoples who are not aware about these
frauds. So, it is needed to Identify those spam mails which are fraud, this
project will identify those spam by using techniques of machine learning, this
paper will discuss the machine learning algorithms and apply all these
algorithm on our data sets and best algorithm is selected for the email spam
detection having best precision and accuracy.
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Pages:1-4
How to cite this article:
C Radha, L Lokesh, N Prabhu, G Pavithra, R Prathibha "End to end spam classifier with Kaggle dataset and Heroku deployment". International Journal of Advanced Education and Research, Vol 9, Issue 2, 2024, Pages 1-4
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