Spliter is an Email Spam classifier allows you to classify whether a given email, x, is spam (y = 1) or non-spam (y = 0).
It uses Support Vector Machine (SVMs) algorithm for classification.
Spilter uses the body of the email (excluding the email headers).

Step 1: Copy & Paste your test email in emailSample.txt file
Step 2: Run 'classifier' script in your Octave/Matlab command window.
Step 3: Spilter takes about 1 to 2 minutes, first to train & then outputs 1 (indicating spam) or 0 (indicating non-spam).

Want to contribute? 📝

To fix a bug or enhance an existing module, follow these steps:

1. Fork the repo
2. Create a new branch (git checkout -b exciting-stuff)
3. Make the appropriate changes in the files
4. Add changes to reflect the changes made
5. Commit your changes (git commit -am 'exciting-stuff!!')
6. Push to the branch (git push origin exciting-stuff)
7. Create a Pull Request

If you find a bug (the website couldn't handle the query and / or gave irrelevant results), kindly open an issue here by including your search query and the expected result.

If you'd like to request a new functionality, feel free to do so by opening an issue here including some sample queries and their corresponding results.

• launch Octave/Matlab
• select Open command window
• select the project folder
• type 'classifer' on command window

• https://www.analyticsvidhya.com/blog/2017/09/understaing-support-vector-machine-example-code/
• http:https://dataaspirant.com/2017/01/13/support-vector-machine-algorithm/
• https://gist.github.com/obstschale/7320846
• https://en.wikipedia.org/wiki/Support_vector_machine