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digit_classifier

This project shows how to use machine learning models to analyze digit images. In addition, an extra part has been added where it is shown how you can create an interactive demo to show the model using Gradio.


Content of the notebooks

  1. Explorative data analysis
  2. Model training
  3. Web app creation

Project requirements

  • Python >= 3.10
  • A virtual environment with the following libraries installed:
    • gradio
    • joblib
    • numpy
    • scikit-learn

Install requirements

To install the project requirements, it is advisable to create a virtual environment to isolate dependencies and avoid errors with your Python system installation.
To create a virtual environment, you can use this guide directly from the official documentation of Python.
Once the virtual environment has been set up, to install the required project packages one has to run the following instruction from the terminal:

pip install -r requirements.txt

Use notebooks online

Thanks to Binder, it is possible to interact and run these notebooks online Binder.

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