December 2019
Beginner to intermediate
770 pages
16h 14m
English
In this example, let's assume that you are the owner of a restaurant and you want to predict how many items from the menu your customers will order in the next 7 days.
You have the following sales history:

In this dataset, you have 38,325 rows and 11 columns. The sales history entries exist from January 10, 2015 to December 9, 2018. The dataset can be found at https://dkatsonpublicdatasource.blob.core.windows.net/machinelearning/AML-restaurant-sales-by-menu-item.csv.
You can call the Time Series API using AL Language code to get predictions about orders. Then, we can check the quality of the predictions programmatically ...
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