Fabric Data Science Sales Forecasting: Predict sales numbers for product categories at a superstore.

The Synapse Data Science software as a service (SaaS) experience in Microsoft Fabric can help machine learning professionals build, deploy, and operationalize their machine learning models in a single analytics platform, while collaborating with other key roles. This article describes both the capabilities of the Synapse Data Science experience, and how machine learning models can address common business problems.
Join us in this Fabric Espresso episode as Amir and Estera discuss the Sales forecasting - predict sales numbers for product categories at a superstore.
🎙 Meet the Speakers:
👤 Guest Expert: Amir H. Jafari, PhD, Senior Product Manager | Fabric Data Science
LinkedIn: / ahjafari
👤 Host: Estera Kot, PhD, Principal Product Manager at Microsoft.
LinkedIn: / esterakot
Twitter: / estera_kot
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[@adilmajeed8439]

Thanks for sharing. As a demo is fine, how about when the data is too large which the naive base model or statistical base models falls short. Would be sharing any example of using Synapse ML on time series forecasting?

[@ZeeNoorTrip]

Hi, I am wondering how to use the trained model with my new dataset after creating it and exploring insights through Power BI. For instance, how can I apply it to my SharePoint where all my data is stored, and then use the trained model (function/software of the model) to make predictions whenever new data is available?