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IEEE Epsilon 2021

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EEE SIES GST with its sub-chapters MTT-S and Computer Society in feature intends to conduct a Symposium which will be an Academic Convention wherein the invited Industry Experts will speak about a particular subject of their research. The topics will run along the track of a theme for the Symposium. The target is to create an educational and orderly ambience where ideas are addressed and exchanged.

Contents:

data: Contains the data for the model and the data for the streamlit app.

deploy: Contains all the files to deploy the app.

eda: Contains the jupyter notebook with the analysis and preparation of the data.

Instructions to use this Kit:

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  1. Use the jupyter notebook in eda to prepare diabetes.csv (You can find it here)

  2. All the files required for deployment can be found in deploy

  3. Follow the instructions in Deploymnet Instructions to deploy the streamlit app.

  4. Use patient_records.csv to test the streamlit app after deployment.

About the Trainer

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Follow me on social media: https://officialvinita.wordpress.com/

Acknowledgements

  1. Special thanks to: Mark https://github.com/markdouthwaite/streamlit-project/commits?author=markdouthwaite for this project template.

This is a basic project template for building and deploying containerized streamlit apps.

This app is configured to be deployed with Google Cloud Platform's App Engine.

About

This repository provides a simple deployment-ready project layout for a Streamlit app. Simply swap out the code in `app.py` for your own and hit deploy!

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  • Jupyter Notebook 99.9%
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