This example demonstrates the forecasting of time series with seasonality, trend and noise using Moving Average (MA), Linear Regression (LR), Deep Neural Network (DNN) and Long Short-Term Memory (LSTM) methods.
-
Notifications
You must be signed in to change notification settings - Fork 0
Randa-lab/Time-series_Forecasting_MA_LR_DNN_LSTM
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
This is example demonstrates the time series forecasting using methods of Moving Average (MA), Linear Regression (LR), Deep Neural Network (DNN) and Long Short-Term Memory (LSTM).
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published