kmeans clustering works and returns centroids and labeled data

working on kmeans

cleaning up readme, now moving on to building clustering algorithms from scratch

having some issues with backprop when trying to use the iris dataset

trying this commit for iris

trying to move forwards with the iris dataset

messing around with readme

seeing if the debug mode is causing my problems

allowing a get request just cause

successfully returning data on how the neural network performed

updating requirements.txt and cleaning things up. Thought it would be working but for some reason requests from postman are not making it to the api

working on debugging parameters inside of neural network

setting it up as a straightforward rest api

cutting the front end mess and just using this as a backend api

splitting up some backprop functions that may have been too long

working on making it just a flask app, got rid of the main.py stuff

tailwind working in the app

focus on the math first

added baseline stuff for making this a flask app with tailwind