The upsurge in the volume of unwanted emails called spam has created an intense need for the development of more dependable and robust antispam filters. Machine learning methods of recent are being used to successfully detect and filter spam emails. The ML project checks if an email is a spam (1) or not (0).

The libraries used are as mentioned below:

1. Numpy
2. Pandas
3. Natural Language Toolkit
4. Scikit-Learn

The accuracy achieved by the model is 0.992(approx). This repository is distributed under the MIT license.