In daily life we receive mails and messages from different people and those people can send you mails/messages by ordinary purpose but some of them can send you junk mail/messages which is not necessary for you at all.
This project is also about classification of mail/messages as ham (not junk) and spam (junk). For this we taken use of few libraries and Singular Value Decomposition method has been also used with Term Frequency - Inverse Document Frequency applied on data. Text length and N-grams also affected the classification, We have used Random Forest machine learning model for classification.