Fashion Item Classification Using Machine Learning

machine learning project focused on classifying fashion items using the Fashion MNIST dataset. We compare the performance of three different models, including a Convolutional Neural Network (CNN), a Random Forest Classifier, and a Logistic Regression. The objective is to identify the most effective model for classifying fashion items based on their images.