I am working on a case study to predict # of calls for next 30 days.
The data is at 30 minutes interval and start from 7 am to 23:30 PM (So 34 observations in a day).
I have two questions:
What would be the frequency ?
Which Machine Learning algorithm would be the best to predict next 30 days?
I tried LSTM, however it takes much longer just to complete 25 epochs.