You are a data scientist working for a retail company. Your goal is to build a predictive model to estimate the probability of customer churn, i.e., the likelihood that a customer will stop purchasing from the company. The results must be interpretable so that the insights can guide marketing teams to develop targeted campaigns aimed at retaining at-risk customers. What should you do to achieve this? | Google Professional Machine Learning Engineer Quiz