Simple Email Spam Classifier

Inspiration

I have always wondered how spam detection worked and this challenge gave me the best excuse to learn how it works and how to implement it for myself.

What it does

You can pass in the contents of an email and the pipeline tells you if it is spam mail or not

How we built it

I found a very simple text dataset. which classified mails into spam and ham based on the contents of the mail. All that was left after that was just finding the best model through trial and error.

Challenges we ran into

This was my first time working with actual text data which holds content. This introdcued me to some text processing functions in sklearn which was cool to understand.

Accomplishments that we're proud of

I was able to implement this program in under 30 minutes which is a first time for me and I am very proud of how far I have come along.

What we learned

How to read learned documentation.

What's next for Simple Email Spam Classifier

I am front-end developer so naturally my next step is to make a GUI for this model

Built With

• numpy
• pandas
• python
• sci-kit