Spam Mail Classifier

Abstract: Email is the worldwide use of communication application. It is because of the ease of use and faster than other communication application. However, its inability to detect whether the mail content is either spam or ham degrade its performance. Nowadays, lot of cases have been reported regarding stealing of personal information or phishing activities via email from the user. This project will discuss how machine learning help in spam detection. Machine learning is an artificial intelligence application that provides the ability to automatically learn and improve data without being explicitly programmed. Binary classifierwill be used to classify the text into two different categories: spam and ham. The algorithm will predict the score more accurately. The objectiveof developing this model is to detect and score word faster and accurately.