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Time Series prediction can be used in a number of business areas. You can think of a number of areas and questions. For example. The neural network is modeled with keras where we have one Dense layer that takes the input that is connected to one dense layer that is the output of our model.Buy You keras Bitcoin prediction absolutely at the specified Provider, because only here, in Contrast to unauthenticated Providers, you can risk, under the protection of the privacy and beyond confidential order. Thanks the of me selected Links, are You all the time on the right Page. It is not a must to detrend time series. However stationary time series will make model training much easier. Next we are going to check some random samples and see if the predicted lines and corresponding true lines are aligned. We can also check the nth prediction of each time step