Time series analysis using orange
ฝัง
- เผยแพร่เมื่อ 30 ส.ค. 2021
- In this video, you will learn about the time series analysis using Orange software. Time series forecasting without coding is possible and the video will be helpful for beginners to do the ARIMA model in time series forecasting.
I can't believe this. Time series analysis is so much easy with the orange software. Thank you for sharing your valuable information.
is it okay if I am not going to use the model evaluation widget?
I'm working on multiple time series forecasts (for each vendor). How can I use Orange data mining in this situation? How can I ensure that the Arima model automatically provides me with the best parameters?
Do you have an interpretation this time series?
Why to make role of time as Meta? Pls explain
In my orange, option to use exogenous variable is not appear in widget arima. What can I do, so the exogenouse option can be appear ?
in latest version of Orange-canvas the exogenous data ans aggregate are tweaked and available seperately through seperate widgets
Can you please share the input files to follow your tutorial ?
Thank you very much in advance
Hii
Simply you can take any time series data from your end and try to follow the steps. Before import the file in the orange software, please define the date colum in excel as date. Then import your file and do the analysis it will helpful to you. Thanks 🙏🙏
@@statisticsforall8738 It is not working when I am defining the date column to date, Orange is recognizing the variable as text only? Kindly throw some light on this issue.