Time Series Analysis Using Python - Part 2 (Applying ARIMA Model)

Published: 01 November 2020
on channel: Analytics
1,323
like

Time series data are analyzed using Python (IDE Jupyter Notebook) in this video. I've instructed how to use python to import data, data preparation, data cleaning, and finally data visualization through different line graphs for data. I employed the United States monthly unemployment rate data which can be reached through the following links:
Links to the original source of data:
Nevada = "https://fred.stlouisfed.org/series/NVUR"
Oregon = "https://fred.stlouisfed.org/series/ORUR"
U.S. = "https://fred.stlouisfed.org/series/UN..."

Download data as CSV format from the following link:
https://raw.githubusercontent.com/dav...


On this page of the site you can watch the video online Time Series Analysis Using Python - Part 2 (Applying ARIMA Model) with a duration of hours minute second in good quality, which was uploaded by the user Analytics 01 November 2020, share the link with friends and acquaintances, this video has already been watched 1,323 times on youtube and it was liked by like viewers. Enjoy your viewing!