In this thread, I’m going to apply the ARIMA forecasting model to the U.S. unemployment rate as time-series data. Also, I’ll bring the proper codes which I run the model using Python (IDE Jupyter Notebook). At the end of this thread, I put two YouTube videos for training purposes.

Step 1- Data preparation

First, we need to import the necessary dependencies to the Jupyter Notebook. the first group of libraries is needed for the data manipulation and the second set of libraries are needed for the model development.

Import dependencies for data manipulation

David Hasan

Ph.D. student and data analyst

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