In this chapter, we learned about decision trees and random forests, and the differences between them. We also explored a decision tree through a sample dataset and Excel using a sample dataset and used random forest algorithm to it in order to establish the prediction. We used Core ML to write the iOS program, and then we applied the scikit-learn to create the model and converted the scikit model to the Core ML model using Core ML tools.

In the next chapter, we will learn more about TensorFlow and its use in Android.