How To do Forecasting with ARIMA in R | Decomposition | Trend | Seasonality | Auto ARIMA

[@mansouranouani7080]

Excellent video, thanks @ satyajit maitra

[@DB-kv3wu]

Excellent work, however, it is not supported by audio based explanation.

[@DataMount1]

Sorry for that

[@tansutazegul8297]

Why Didnt you apply stationary test on seasadj data?

[@DataMount1]

because it's already stationary

[@tansutazegul8297]

@@DataMount1 ops sorry,havent watched the full video. I will do so tonight.

[@DataMount1]

@@tansutazegul8297 you can watch the tutorial anytime man .....if you need help ping us anytime.

[@tansutazegul8297]

@@DataMount1 Now it is the time :) I will let you know if I have a question. Thx a lot m8

[@DataMount1]

small correction p-value in first attempt is higher so we can't ignore null hypothesis that the data is not stationary

[@MCRANDGDp]

Hi!!! Great video Can you upload the excel csv??

[@DataMount1]

here is the file github.com/MachineLearningWithHuman/Projects/tree/master/finance%20model/data

[@MCRANDGDp]

@@DataMount1 Thank you very much

[@weweHuo]

Great video tks ! But your data seems like determinted trend ,how about include drift? Is drift better than difference or not?

[@DataMount1]

thank you for liking it will depend on your dataset

[@faithkimeu1912]

Hello, this is an informative video. Can ARIMA model predict pixel data, data not in vector format

[@DataMount1]

Think arima is auto regressive moving average ... Do you think it can predict ?

[@faithkimeu1912]

@@DataMount1 By pixel data I mean satellite imagery data as an image but in grid format... So can I input the gridded data in the model?

[@DataMount1]

@@faithkimeu1912 yes you can flat the data as vector and pass it as input but won't get the required result as image data is 2d data

[@faithkimeu1912]

@@DataMount1 Thank you

[@preethansebse8726]

Hi..Very useful video.. pls upload the R codes for us to learn..tq in advance

[@DataMount1]

Will upload soon