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Simple Web App about cancer level prediction based on post condition after cryotherapy treatment. Using dataset of Cryotherapy analysis

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ifs20004-itdel/NaiveBayesWeb-CryotherapyDataset

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NaiveBayesWeb-CryotherapyDataset

Simple Web App about cancer level prediction based on post condition after cryotherapy treatment. Using dataset of Cryotherapy analysis

Procedure to use the application

  1. If you dont have pip, install it first
  2. https://pip.pypa.io/en/stable/installing/

  3. Install virtualenv
  4. pip install virtualenv
    

  5. Create the env folder inside your project
  6.  virtualenv <env-name-folder>
    

  7. (Optional) Change the permission of the virtualenv in the windows operating system, by search PowerShell, run as administrator and write command below
  8.   Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope LocalMachine
    

  9. Activate the virtual environtment
  10.   <env-name-folder>/Scripts/activate
    

  11. Make sure you're in the virtual environtment by see the symbol ( < env-folder-name >)

  12. alt text


  13. Make sure the pip is up to date by upgrade it
  14.   python.exe -m pip install --upgrade pip
    

  15. Install all the library that needed
  16.   pip install scikit-learn
      pip install pandas
      pip install flask
      pip install pickle-mixin
      pip install pickleshare
    

  17. Run the application
  18.   flask run
    

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Simple Web App about cancer level prediction based on post condition after cryotherapy treatment. Using dataset of Cryotherapy analysis

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