Generating predictions is crucial for controling the covid outbreak because it allow us to be prepared for dealing with new cases.
In this project I created a neural network model to forecast the pandemic in Mexico using the dialeted convolution technique and implemented in python using the tensorflow framework and sklearn to clean and arrange the data.
Using data from "Secretaria de salud (Dirección General de Epidemiología)" https://www.gob.mx/salud/documentos/datos-abiertos-152127
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PedroHS137/NeuralNetworks-for-CovidPandemic-Forecasting
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A neural network model to forecast the pandemic using the dilated convolution technique and implemented in python using the tensorflow framework
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