Topic: Automatic email classification and categorization into organized bundles. Author: Saurabh Rewaskar

README.txt: This file contains the description of the contents of this project and how to execute the program data/ : The data folder categories.txt(http://bailando.sims.berkeley.edu/enron/enron_categories.txt): The categories which are used to label the emails classify.py: The main program, this is the program which needs to be executed.

How to run this project: 1] Setting up the environment. Requires Python 3.6. Libraries required: pandas numpy scikit-learn timeit (Alternatively use the Anaconda Data Science platform)

2] The data is to be downloaded from the link: http://bailando.sims.berkeley.edu/enron/enron_with_categories.tar.gz and extracted into the data/ folder. The data directory should look like this after data extraction into it. data/ enron_with_categories/ 1/ 2/ 3/ 4/ 5/ 6/ 7/ 8/

3] Run the script classify.py Expected time to complete ~15min