This project focuses on creating a spam filter using SVM classifier. The objective is to find the classifier that maximizes precision using features such as text and character frequencies.
Main code and implementation found in SpamFilter.ipynb. If the GitHub cannot make the preview, click here.
Documentation file: spambase.DOCUMENTATION.