• Pratiksha Mantri

Email Spam has become a significant problem nowadays, with rapid climb of internet users, Email spams is additionally increasing. Machine learning methods are commonly utilized in spam filtering. People are using them for unethical conducts, phishing, and fraud. Sending malicious link through spam emails which might harm our system and may also seek in into your system. Creating a fake profile and email account is far easy for the spammers, they pretend sort of a genuine person in their spam emails, these spammers target those peoples who are not aware about these frauds. Machine learning techniques now days accustomed automatically filter the spam e-mail in an exceedingly very successful rate. So, it's needed to spot those spam mails which are unethical and illegal, this project will identify those spam by using techniques of machine learning, this paper will discuss the machine learning algorithms and Bio-Inspired Methods and apply all these algorithms on our data sets and best algorithm is selected for the email spam detection having best precision and accuracy. The proposed work shows differentiating features of the content of documents [4]. There has been a lot of work that has been performed in spam filtering which is limited to some domains.

Machine Learning, Spam Email, Bio-Inspired, Spammers, Methodology, Spam Detection Architecture, Steaming, Spam filtering.

"A Proposed Paper on Spam Email Detection using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.a573-a577, May-2022, Available :http://www.jetir.org/papers/JETIR2205075.pdf

"A Proposed Paper on Spam Email Detection using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppa573-a577, May-2022, Available at : http://www.jetir.org/papers/JETIR2205075.pdf