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COVID-19 Corona Forecasting using Machine Learning

version 1.0.3 (95 KB) by Akhilesh Kumar
The example trains a Machine Learning Model to forecast the number of covid-19 cases given the number of cases in previous days.
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Updated 09 May 2020

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This example shows how to forecast time series data using Machine Learning.
To forecast the values of future time steps of a sequence, you can train a regression Machine Learning, where the responses are the training sequences with values shifted by one time step. That is, at each time step of the input sequence, the Machine Learning learns to predict the value of the next time step.

This example uses the data set covid-19 patients of India. The example trains a Machine Learning Model to forecast the number of covid-19 cases given the number of cases in previous days. I used data till 31st March 2020.

Cite As

Akhilesh Kumar (2021). COVID-19 Corona Forecasting using Machine Learning (https://www.mathworks.com/matlabcentral/fileexchange/75423-covid-19-corona-forecasting-using-machine-learning), MATLAB Central File Exchange. Retrieved .

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MATLAB Release Compatibility
Created with R2020a
Compatible with R2018a to R2020a
Platform Compatibility
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