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Simple Linear Regression Project that predicts probability of testing positive for covid-19 on the basis of provided symptoms.

covid-image

My attempt at building a simple program using ML and DS principles that predicts probability of being covid +ve based on your symptoms.

This program can be useful to narrow down groups of people to be tested in regions where large-scale testing is not possible.

This implementation is not in any way perfect (it is a simple linear regression project), yet it gives a good idea of actual probability of testing positive.

Data Set Containing symptoms has been taken from;

  1. https://github.com/saadidrees/dataset_covid_19_symptoms
  2. https://github.com/Siddhant-K-code/Coronavirus-Probability-Checker/blob/master/data.csv

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