In this project, I worked in a group project and used different time series and deep learning modeling techniques to forecast Australia unemployment rate. The time series decomposition method and visualization techniques were used in the Exploratory Data Analysis. Subsequently, a combination of decomposition, linear and polynomial regression, Holts Winter, Seasonal ARIMA and deep learning models were used to make the forecast and the results were evaluated by their Mean Squared Errors.
-
Notifications
You must be signed in to change notification settings - Fork 0
sony-au/time-series-modelling
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Predicting Australia unemployment rate (noise data) using time series models, including deep learning
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published