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Thank you for the compliment, sir
we had a very good experience when analyzing the Telenor data,
and we are pleased to hear from you
and looking further to have this kind of interaction with you again.
Thank you, sir
We have predicted using three algorithms ARIMA, Simple Exponential Model And RNN.
We have observed the Root mean square error for three algorithms. In our data case observation, we got 31 days mobile data delays. We divided the data into 27 days for train data and 4 days for test data. We predicted the time series for three algorithms and compared RMSE values.RNN gives us the least Root mean square error. So, compared to other algorithms, we choose RNN for this data case.
Moreover, Recurrent Neural Networks is a Deep learning algorithm which gives pretty good results for Sequential Time Series Analysis.
Thank you for your suggestion sir.
we have updated our article with the screenshots containing codes and added some additional analysis on the data and predicted the future failures for the given four days