Skip to content

detiuaveiro/aas-spam-detector-Hugofos

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

1 Commit
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

AAS SPAM Detector

The objective is to develop a SPAM classifier capable of reaching at least 70% accuracy. You can, and should, use all that was presented in the theoretical notebooks.

The dataset is different from the toy one used in the class, instead the work will be done on the Enron SPAM dataset. The Enron-Spam dataset is a fantastic ressource collected by V. Metsis, I. Androutsopoulos and G. Paliouras and described in their publication "Spam Filtering with Naive Bayes - Which Naive Bayes?". The dataset contains a total of 17.171 spam and 16.545 non-spam ("ham") e-mail messages (33.716 e-mails total). The original dataset and documentation can be found here.

Setup

Follow the instructions bellow:

python3 -m venv venv
sourve venv/bin/activate
pip install -r requirements.txt

Authors

License

This project is licensed under the MIT License - see the LICENSE file for details

About

aas24-aas-spam-detector-aas-spam created by GitHub Classroom

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 100.0%