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OxCGRT_Japan_20201229.ipynb
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This is just an pre-analysis for lisphilar/covid19-sir#280 and we need to analyse OxCGRT scores deeply with many countries' datasets.
If you have time, please our open source project CovsirPhy.
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Interesting how the 'best' models vary so much between countries. For example, for the United Kingdom and the Netherlands these are NaiveSeasonal and Theta, respectively. Great notebook to visualize these differences. Any ideas of implementing deep learning models to capture more variance?