K-Nearest Neighbors (k-NN) for Handwritten Digit Recognition

This project implements the k-NN algorithm in Python to predict handwritten digits.

Data Source

This project uses the MNIST dataset, a large database of handwritten digits. The dataset is available at:

MNIST Dataset

LeCun, Y., Cortes, C., & Burges, C. (2010). MNIST handwritten digit database.

Setup and Usage

1. Run the script:

python main.py

Note: On Linux or macOS, you might need to use python3 instead.

Project Status

This is an initial version developed as part of my AI learning journey.

Advices for this project are more than welcome! This project is licensed under the MIT License.