Multi-Variate Data Classifiers using Python and Streamlit

This repo contains some simple projects I ran to see how the Streamlit module can be used along with sklearn to train a model and provide a user-friendly interface for testing.

The Penguin classifier is basically a fork of Chanin Nantasenamat's example.

The Breast Cancer Recurrence classifier is a modification of the same classifier to try a different dataset.

Demo

Live link for Breast Cancer Recurrence classifier

To run a demo install the python modules:

pip install streamlit pandas numpy scikit-learn

Now enter one of the directories and run any of the following:

streamlit run breast_cancer_webapp.py

OR

streamlit run pwebapp.py