Forecasting COVID-19 using Deep Learning

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About this project

• Forecasted COVID–19 daily case counts for Toronto and main cities in Canada using weather and mobility data. • Developed time series models using Deep Learning techniques like Long-Short Term Memory networks and Dilated Convolutional Neural Networks with a prediction accuracy of 92%.

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