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My Capstone for the HarvardX Course "Introduction to Data Science with Python"

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Capstone-IDSCP

My Capstone for the HarvardX Course "Introduction to Data Science with Python" Task: Compare scenarios from different countries' COVID-19 Response to emphasize the problem of relying on a single metric such as accuracy for prediction.

Problem Setting: At the peak of the COVID-19 pandemic, hospital authorities had to make a call about who to admit and who to send home given the limited available resources. Our problem is to have a classifier that suggests whether a patient should be immediately admitted to the hospital or sent home.

The Data: The data consists of the following predictors:

  • Age
  • Sex
  • Cough
  • Fever
  • Chills
  • Sore Throat
  • Headache
  • Fatigue

The outcome is a classification prediction to indicate the urgency of admission.

  • Positive: Indicates that a patient that was admitted within 1 day from the onset of symptoms.
  • Negative: Indicates everyone else.