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项目作者： abhishek-ch

项目描述 ：
Streamlit example showing Scikit Learn & Pyspark ML over Healthcare data ! Its simple !!
高级语言： Python
项目地址: git://github.com/abhishek-ch/streamlit-healthcare-ML-App.git
创建时间： 2020-12-13T22:33:34Z
项目社区：https://github.com/abhishek-ch/streamlit-healthcare-ML-App
开源协议：
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Streamlit Healthcare Machine Learning Data App

Objective

  1. How easy is it to create a Web App using Streamlit
  2. Integrating multiple #machinelearning technologies in the same app
  3. Code reusability
  4. Streamlit functions & feature usage

of-course Dockerize!

Running the App

  1. Checkout the code
    1. git checkout
  2. Build the docker image
    1. docker build --tag streamlit-healthcare:1.0 .
  3. Run the docker image
    1. docker run -it -p 8501:8501 streamlit-healthcare:1.0
  4. Browse the url

Features

  • Load Healthcare data from Kaggle https://www.kaggle.com/sulianova/cardiovascular-disease-dataset
  • Use scikit-learn ML lib to run classification.
  • Provide Tuning param options in the UI
  • Provide Switch to enable PySpark
  • Provide Pyspark MLlib options over the same data, technically one can compare
    the result between 2 seperate libraries
  • Plotting using Seaborn chart

Conclusion

Streamlit is essentially a very straightforward easy library to create
python based Webapp.
I am Convinced 👏👏👏