Internet has become to be an integral part of lifestyles. With multiplied use of internet, numbers of email customers are growing day by day. This growing use of e-mail has created troubles induced. Through unsolicited bulk email messages normally called spam. Electronic mail has now come to be one of the satisfactory methods for commercials due to which junk mail emails are generated. Unsolicited mail emails are the emails that the receiver does not preference to gather. A massive quantity of equal messages is sent to numerous recipients of e-mail. Direct mail usually arises as a result of giving out our email address on an unauthorized or unscrupulous internet website. There are a few of the consequences of junk mail. Fills our Inbox with type of ridiculous emails, that will reduce our internet speed. Steals beneficial records like our info on you contact list. Alters your seek consequences on any laptop software. Junk mail is a huge waste of every body’s time and can quickly turn out to be very frustrating if you get hold of big quantities of it. Figuring out these spammers and the junk mail content is an onerous challenge. Despite the fact that full-size variety of studies were executed, but to this point, the Techniques set forth nevertheless scarcely distinguish spam surveys, and none of them show the Benefits of each eliminated detail compose. Despite increasing network verbal exchange and Losing lot of reminiscence space, spam messages also are used for some attacks.

Keywords : Spam Detection, Python, Machine Learning, Stop Words, Tokenization, Potter Stemmer, Count Vectorizer, Label Encoder, Naïve Bayes Algorithm, NumPy, Pandas.