Fabric Semantic Link: Power BI as a Machine Learning Data Source
In this video, we'll walk through how to use Fabric Semantic Link to leverage Power BI as a data source for Machine Learning model development. We'll explore the process of connecting a Python notebook to Power BI, listing available measures, and querying the data to train and register a model.
Description
This video shows you how to use Fabric Semantic Link to leverage Power BI as a data source for Machine Learning model development in Fabric Data Science.
Microsoft Fabric Semantic Link provides a way for Power BI models to be used as a data source for data scientists creating machine learning models.
This video is a walk-through of the following blog post: https://learn.microsoft.com/en-us/python/api/semantic-link-sempy/sempy.fabric?view=semantic-link-python
Quick Links:
0:00 Introduction
1:09 Power BI Dashboard
1:46 Python Notebook
2:58 Connect to Fabric
3:52 List Power BI Measures
4:37 Query Power BI Data
6:41 Train the ML Model
8:55 Review Registered Model
9:48 Summary