Application for classifying handwritten digits using the decision tree classifier and neural network machine learning models.
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The Number Guide allows you to classify handwritten digits as their respective numbers. There are two models which can be accessed in /Models these models are decision tree classifiers and neural networks. For in-depth explanations refer to the notebook.
This project was developed using Jupyter Notebook and many modules, documentation can be found below
If you have any ideas on how to improve The Number Guide, make a contribution!
- Fork the project
- Create a new branch (
git checkout -b update) - Commit your changes (
git commit -m 'Description of update') - Push to the branch (
git push origin update) - Open a new pull request
- Machine learning introduction was provided by Josh Gordon at Google Developers
- Models were based on videos provided by NeuralNine and Programming with Mosh
- Credit to othneildrew for the README template
Momin Chaudhry - @momin_c - [email protected]