Created by Rutvij Dave, Asim Chitre, Shaunak Alshi, Heet Chheda
This project consists of:
1.Reading and extraction of email body,sender's name,subject,etc.
2.Creation of a dataset consisting of spam and ham emails.
3.Labelling the emails as spam or ham manually or by nlp.
4.Dividing the above dataset into training and testing dataset and hence using the training dataset to generate a model.
5.Using the generated model to predict the testing dataset.
Open predictions folder and run driver.py file