KN999/DigitRecognizer

A nueral network to recognize hand written digits.

Hand Written Digit Recognizer

Install

This project requires Python 3.x and the following Python libraries installed:

• NumPy
• Pandas
• matplotlib
• scikit-learn

You will also need to have software installed to run and execute an iPython Notebook

We recommend students install Anaconda, a pre-packaged Python distribution that contains all of the necessary libraries and software for this project.

Run

In a terminal or command window, navigate to the top-level project directory handwrittendigitrecognizer/ (that contains this README) and run one of the following commands:

ipython notebook Hand Written Digit Recognizer.ipynb

or

jupyter notebook Hand Written Digit Recognizer.ipynb

This will open the iPython Notebook software and project file in your browser.

Features

• sms_message: hand written digits.

Target Variable

• label: Label Class (0,1,2,3,4,5,6,7,8,9)