Using machine learning to determine whether a patient has diabetes or not. applied data cleansing, modeling, visualization.

This project involves building and training a deep learning model using TensorFlow and Keras to classify grayscale images of clothing items from the Fashion MNIST dataset. The goal is to correctly predict the type of clothing (e.g., T-shirt, dress, sneaker) from a 28x28 pixel image.