This repository contains the image letter classifier project for the course "Optimization Methods for Data Science" at the Sapienza University of Rome. The project aims to develop a classifier (from scratch) that can accurately identify letters of the alphabet from a set of images. The classifier is implemented using a variety of machine learning methods: Multilayer perceptron (MLP), Radial basis function (RBF) network, Support vector machine (SVM).
Professor: Veronica Piccialli, Cecilia Salvatore, Giampaolo Liuzzi