Summary

Visualizing machine learning data is a crucial step in the data analysis process, enabling you to gain insights, identify patterns, and communicate results effectively. In this chapter, we familiarized ourselves with the different visualizations and techniques to visualize machine learning data. At the beginning of this chapter, we discovered common principles for creating a good visualization and familiarized ourselves with the key principles of coloring.

Toward the end of the chapter, we discovered some different visualization types that Qlik offers natively and learned how to use some of the graph types effectively. We learned the principles of the most used visualizations and how to fine-tune these in Qlik while keeping the context of machine learning in mind.

In the next chapter, we will look at the actual use cases of the machine learning solutions. We will learn how to build a few different machine learning models and applications from scratch and utilize all we...