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This is an intern project, for doing analysis of results of given ML Algorithm, doing visualizations on it, and lot more stuff.

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Sarthug99/ModelAnalyticsAndVisualization

 
 

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Steps for installation

  1. Installing the essential libraries

  2. Run database.py

  3. Run main.py

  4. Installing the essential libraries

pip install pandas pip install seaborn pip install ppscore pip install numpy pip install Flask pip install -U scikit-learn

The list of essential libraries is also mentioned in requirements.txt file generated by pip freeze

  1. database.py [If the table is not existing. Here we are creating the empty table, so no need of running this] Creates the table.

  2. main.py Runs the flask app

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This is an intern project, for doing analysis of results of given ML Algorithm, doing visualizations on it, and lot more stuff.

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