Getting Started with Data Science in Microsoft Fabric: Part 2

As a follow up to Part 1 (https://youtu.be/kdUIUPwIy4g), this video walks through how to leverage the ML model by generating predictions, storing the data in the lakehouse, and consuming both real-time data and predictions in Power BI reports. The notebook is available for download in the data science module in our lab at https://aka.ms/fabricrealtimelab -- this module is designed to be stand-alone, so it can be completed without finishing other modules in the lab. Links from video: Part 1 https://youtu.be/kdUIUPwIy4g) Real-time Lab with notebooks https://aka.ms/fabricrealtimelab Prophet https://facebook.github.io/prophet/ Chapters: 00:00:00 Introduction 00:00:37 ML Models in the Fabric Workspace 00:03:26 Notebook - Consuming the Model 00:13:04 Notebook - Build Model and Store Predictions 00:17:00 Build a Semantic Model 00:18:54 Power BI Desktop Composite Report 00:31:18 Fabric: SQL Analytics Endpoint 00:33:40 Example of Predicted vs Actual Report