Time Series -
1: Still, in general, no - you could theoretically make a "week-wise" model and aggregate to the month and year, but you are aggregating error as well. The "best practice" is to forecast at the grain...
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Thanks for the clarification, Jamie.I have some more questions :1. Using the same model, Can i make predictions week wise, month-wise as well as year wise?2. In the Adventure works forecasting sample,...
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In general the answer is "no". However are you saying that a) You don't have 3 years of data for all data orb) You have the data, but don't want to use it.If the answer is (a), you can use the Missing...
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I m using the Time Series Algorithm to forecast sales across regions for various products. Assume the model is built with last 3 years data with the periodicity being monthly.Is it possible that...
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