Summary
In this chapter, we utilized the skills learned during the previous chapters by implementing two different use cases. In our first example, we studied the data of houses in California and created a model to predict their prices based on house-related variables. We created an application to utilize our model and learned about the iterations and how to interpret the experiment results.
In our second example, we learned how to form a customer churn model and utilize it in multiple ways. We also learned how to create different datasets from our original data file and how to form a machine learning question using a framework. We visualized the results using native visualizations in Qlik Sense.
In our next and last chapter, we will look into the future. We will investigate current trends in machine learning and artificial intelligence and try to predict how these might evolve in the future. We will also investigate megatrends and get familiar with the characteristics of a megatrend...
