Introduction Email spam, also referred to as junk email or simply spam, is unsolicited messages sent in bulk by email. Email spam has steadily grown since the early 1990s, and by 2014 was estimated to account for around 90% of total email traffic.Most email spam messages are commercial in nature. Whether commercial or not, many are not only annoying as a form of attention theft, but also dangerous because they may contain links that lead to phishing web sites or sites that are hosting malware or include malware as file attachments. That's why its necessary to filter spam messages/mails to protect user. In this project we are going to use different classification algorithms to classify emails as spam or not spam. For that we have different features extracted from emails, these features include percentage of words, characters etc. Variables discription In [3]: 1 import pandas as pd 2 names = pd . read_csv ( '/content/names.csv' ) 3 names . index = [ x for x in r...
