MNIST Classification using SVM and CNN

This project focuses on classifying handwritten digits from the MNIST dataset using two different machine learning models: Support Vector Machine (SVM) and Convolutional Neural Network (CNN). The goal is to compare the performance of a traditional ML algorithm (SVM) with a deep learning model (CNN) in terms of accuracy and efficiency on image data