Email Spam Detection Using Machine Learning

Email Spam Detection Using Machine Learning

Prof. Abhimanyu Dutonde1 , Prashik .P. Ramteke2,  Akanksha Burade3 , Rajani Bansod4, Pratham Telang5

Project Guide, Department of Computer Science Engineering, Tulsiramji  Gaikwad-Patil College of Engineering

& Technology, Nagpur.

Students234567, Department of Mechanical Engineering, Tulsiramji Gaikwad-Patil College of Engineering & Technology , Nagpur.

Abstract -

Nowadays, Email spam has become a big problem, with the fast growth of internet users, email spams are also increasing. People are using them for phishing, illegal and unethical practices and frauds. Sending malicious links through spam emails that can harm for our system and may also get into your system. It is very simple for spammers to create a fake profile and email account, they show like a real person in their spam emails, these spammers simply target people who are not aware of these frauds. then there is a need to identify those spam mails which are frauds, this project will identifies those spams using techniques of machine learning, this paper will discuss machine learning algorithm's and apply all these algorithm's to our dataset. it select the best algorithm, for this project algorithm will be chosen based on the best accuracy and precision in email spam detecting.

Keywords— Email Spam Detection, Machine Learning, Neural Networks, Support Vector Classifier, Logistic Regression etc.