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Engee is a user-friendly sandbox for the machine learning pipeline, designed to educate data enthusiasts and empower non-technical analysts.

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Engee

Engee is a web application designed to educate data enthusiasts and empower non-technical analysts. With an easy-to-use interface supported by guided tool-tips, Engee makes machine learning a breeze to learn and implement. In just a few clicks, users can go from importing a dataset to analyzing the confusion matrix of their selected model.

Dependencies

  • Node.js
  • Flask
  • NumPy
  • Pandas
  • Sci-Kit Learn
  • Matplotlib
  • Seaborn

Startup

  1. run start.bat to activate the flask server on a local host
  2. navigate to views/website/index.html to launch the web application

UI Screenshot

Welcome Screenshot Data Preview Screenshot Feature Selection Screenshot Model Selection Screenshot Metrics Screenshot Code Output Screenshot

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Engee is a user-friendly sandbox for the machine learning pipeline, designed to educate data enthusiasts and empower non-technical analysts.

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  • JavaScript 43.3%
  • CSS 28.4%
  • HTML 16.4%
  • Python 11.2%
  • Other 0.7%