Handwritten Digit Recognition

Overview

This project is focused on the development of a machine learning model for recognizing handwritten digits. It involves importing necessary dependencies, loading datasets, and implementing various machine learning techniques.

Features

• Data loading and preprocessing
• Model training and evaluation
• Visualization of results

Installation

To run this project, you will need to install certain Python libraries. You can install these using the following command:

pip install -r requirements.txt

Usage

To use this project, run the Jupyter Notebook Handwritten_Digit_Recognition.ipynb in an environment that supports Jupyter Notebooks, such as JupyterLab or Google Colab.

Contributing

Contributions to this project are welcome. Please feel free to fork the repository, make changes, and submit a pull request.

License

This project is licensed under the MIT License.

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