This project aims to use a subset of the Ontario COVID-19 test results dataset to model, predict and compare the results using tree-based ensemble and Naive Bayes methods. The files are self explanatory and the dataset is also uploaded. The Jupyter notebook has in-detail analysis and observations in accordance with the code.
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Prediction of Covid-19 test results using Tree-based methods and Naïve-Bayes classifier