Choosing features via data exploration

Your project is to be implemented completely within Power BI, without using external tools. Power BI ML is a software as a service (SaaS) tool that does not require the setup of an infrastructure or advanced coding skills. Traditionally, most ML projects are implemented using highly specialized tools that require strong coding skills with languages such as R and Python. By implementing the entire project in Power BI, you will be able to complete it in a short timeline, build all of the components with SaaS tools and minimal coding, and then manage deployment, scalability, and future changes using a single suite of tools.

The data architecture techniques in this chapter are tailored to analysts and business intelligence developers, and the process will be a great way to learn the basics of finding and modeling features for ML. Experienced ML architects who are fluent in R or Python might handle the process differently, but you need to proceed...