Summary
In this chapter, you used Power BI to build dataflows and train a binary prediction ML model, a general classification model, and a regression model. All three relied on the work you had done through Chapter 7 to identify features in the FAA Wildlife Strike data, prep queries for ML, and then publish everything to the Power BI cloud service.
In Chapter 9, you will review the testing results of the ML models and evaluate the accuracy of the tested predictions. ML models needing improvement can be modified and re-trained as needed until acceptable results are attained.
