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ML_COVID_PREDICTION

Process:

  • Data Cleaning
    • Geography Data:
      • Downloaded PH Case # Data
        • Used OpenRefine to clean 'Location' column
          • nearest neighbor, PPM
        • OHE on other columns
        • basic data cleaning (training spaces etc)
      • Downloaded DOH C Case Data

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This project was completed by five masters students from New York University's Center for Data Science for our Machine Learning Class. It explores using machine learning algorithms to predict the health status of COVID patients in the Philippines.

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  • Jupyter Notebook 99.8%
  • Rich Text Format 0.2%