Spam Email Classifier

I made a single-layer perceptron from scratch, which is a machine learning algorithm. I decided to make this as I am currently learning about perceptrons in my computer science class and thought it would be cool to try and implement one in python. I made a version that can seperate data-points above and below the line x+y=10 and then a more advanced version which can detect if emails are spam or not spam. It was challenging to convert the emails.csv into inputs that the perceptron could handle, but after some research I found that TF-IDF is a good way of converting the emails into vectorised inputs that the perceptron can handle, and then made it output -1 for not spam or +1 for spam. I am proud of how accurate the perceptron is when using such a simple machine learning model, and it is also really cool to watch the simple higher-lower perceptron seperate the points in 2D with a line in real-time. To test it, follow the setup instructions in the README. I hope you enjoy!