Building and training a regression ML model in Power BI

Finally, you will build an ML model to predict the height of impact associated with wildlife strikes. A regression ML model can predict numeric values based on features used to train the model. This ML model could be useful in predicting expected costs when a wildlife strike causes damage. Use the query from the ML Queries dataflow named Predict Height:

1. Create a new dataflow in your Power BI workspace by selecting New | Dataflow.
2. Select Link tables from other dataflows.
3. Ensure you are signed in to your organizational account and select Next.
4. Expand your Power BI workspace folder, expand the dataflow ML Queries, select Predict Height, and click Transform data.
5. Save and close the new dataflow.
6. Name the new dataflow Predict Height ML.
7. Refresh the new dataflow.

Now you can begin building your regression ML model in Power BI.

8. Click on the new Predict Height ML dataflow from your workspace...