Gun-Laws-Classifier

This is a classifier which basically predicts whether there is a gun law in a state or not, depending on various things like murder rates etc.

It uses various Classification algorithms like decision trees, random forest, naive bayes and K-nearest neighbors to predict the gun law.

At the end, these different algorithms are compared with their accuracy, and depending upon whichever algo performed the best that algo's predicted result is shown to the user.

Also just so you know, this was just a project for a lab in my university.