Interactive demo

Topics: ML Gradio Go back

I participated in a sprint organized by Hugging Face to build scikit-learn interactive demos. These demos are based on examples of how to use this machine learning library. The original examples are currently in the documentation of scikit-learn.

The objective of building interactive examples is to let the user modify the inputs to the code and see how they affect the results of the ML model.

The interactive demo that I built is hosted at the time of writing in Hugging Face “Spaces”: Hugging Face Spaces

I used the following libraries:
matplotlib
scikit-learn
gradio
numpy
Link to project