EMAIL FILTERING METHODS AND THEIR COMPARISON ANALYSIS
Keywords:
e-mail filters, Spam, networks, SMTP.Abstract
This prevents email attacks from occurring. Each e-mail message is checked by a program created by a fully machine learning algorithm. In the development of this program, I used the pandas and sklearn libraries, which are part of the machine learning libraries.
References
"Machine Learning for Email: Spam Filtering and Priority Inbox" by Trevor Grant, Simon Walk, and Luis Vargas
https://www.hindawi.com/journals/scn/2022/1862888/
"Data Mining: Practical Machine Learning Tools and Techniques" by Ian H. Witten, Eibe Frank, and Mark A. Hall
"Learning from Data: A Short Course" by Yaser S. Abu-Mostafa, Malik Magdon-Ismail, and Hsuan-Tien Lin
"Neural Networks and Deep Learning: A Textbook" by Charu C. Aggarwal
"Machine Learning: An Algorithmic Perspective" by Stephen Marsland
https://www.sciencedirect.com/science/article/pii/S2405844018353404
Email Spam Detection Using MachineLearning Mrs. Anitha Reddy1*, Kanthala Harivardhan Reddy2 , A. Abhishek3 , Myana Manish4 , G. Viswa Sai Dattu5 , Noor Mohammad Ansari6
