MNIST Classifier

This project implements multiple classification approaches on the MNIST dataset, including:

• K-Nearest Neighbors (KNN)
• Naive Bayes
• Linear classifier
• Multi-Layer Perceptron (MLP)
• Convolutional Neural Network (CNN)

Installation

To use this project, you'll need to install the following dependencies:

• scikit-learn
• numpy
• matplotlib
• torch
• torchvision

Install all dependencies with:

pip install scikit-learn numpy matplotlib torch torchvision

Paper

A corresponding research paper detailing the methodology and results can be found in this repository.