Time Series Forecasting for Covid-19 Data
Hassan Tahir
Performed time series forecasting for Covid-19 Data Set. The data set was relatively small of just 28 days so we used different regularization techniques to see which performed the best. We trained two different models GRU and LSTM.
The different regularization techniques used were L1, L2, L1 and L2 combined and dropout. The dropout rate was 20%.
After performing all these models the best performing model we got was GRU with 20% dropout.
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Posted Feb 21, 2024
Studied the effects of regularization on RNN models for time series forecasting using Covid-19 as an example
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