Summary
This chapter began building the foundation of your ML adventure in Power BI. You created a group of queries in Power Query that will be the basis for training and testing your binary, general classification, and regression ML models. You began building out an analytical report while discovering features in the data that might be valuable for predictive analytics in ML. Finally, you added those features to new queries in Power Query. You’re ready to add new features to your queries that will attempt to predict whether damage occurred, the size of the wildlife involved in a strike, and the height of wildlife strikes.
In the next chapter, you will dive deeper into the Power BI dataset to discover new predictive features. You’ll leverage some of the Power BI AI capabilities to uncover new insights and potentially new features for use with ML. Finally, you will add your new findings to the queries that will be used to train and test your ML models in Power BI.
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