Since you are a well-organized data scientist, the first thing you should do is pull out your Machine Learning project checklist. How do you frame the Problem? The first question to ask your boss is? Your boss answers that your model's output (a prediction of a district's median housing price) will be fed to another Machine Learning system (see Figure 2-2), along with many other signals. 3 This downstream system will determine whether it is worth investing in a given area or not. Getting this right is critical, as it directly affects revenue. Figure 2-2. A Machine Learning pipeline for real estate investments The next question to ask your boss? Your boss answers that the district housing prices are currently estimated manually by experts: a team gathers up-to-date information about a district, and when they cannot get the median housing price, they estimate it using complex rules