This repository contains a machine learning pipeline for classifying images from the Fashion MNIST dataset using K-Nearest Neighbors (KNN), Neural Networks (NN), Decision Trees, and Random Forests.
The entire process, including data exploration, preprocessing, model training, and evaluation, is documented in the Closet Tune - Jupiter Notebook.
To test these models in a real application, check out the Closet Tune – a Flask-based web app where you can upload images or draw on a canvas to see model predictions in action!