very informative, in the video (especially at the end) it is explained that Panel Data Forecasting is no different from commonly Time Series Forecasting. This means that in practice you only divide the dataset and then forecast it individually, for example using the Triple Exponential Smoohing method
Thanks a lot for the information. I believe what you have explained is how to process the data, this is very informative, do you have any videos / links/resources on how to forecast this kind of data ? What are the ML models to work with? Thanks agian
based on the video, i think we just divide the dataset and then forecast it individually, for example using the Triple Exponential Smoohing method, or using simple exponential smoothing in MS Excel
very informative, in the video (especially at the end) it is explained that Panel Data Forecasting is no different from commonly Time Series Forecasting. This means that in practice you only divide the dataset and then forecast it individually, for example using the Triple Exponential Smoohing method
Thanks a lot for the information. I believe what you have explained is how to process the data, this is very informative, do you have any videos / links/resources on how to forecast this kind of data ? What are the ML models to work with? Thanks agian
based on the video, i think we just divide the dataset and then forecast it individually, for example using the Triple Exponential Smoohing method, or using simple exponential smoothing in MS Excel
how does one reach out to you??
Very informative video by the way