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.
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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For technical post on the same visit https://algo.volganga.com/time-series-forecasting-using-machine-learning-covid-19/
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