You work for a hospital that wants to optimize how it schedules operations to ensure that bed usage is efficiently managed. To achieve this, you need to create a machine learning model that can predict the number of beds needed for patients each day based on the number of scheduled surgeries. The hospital has provided one year of historical data, organized in 365 rows, with the following variables for each day: • Number of scheduled surgeries • Number of beds occupied • Date (to capture temporal patterns) Given the requirement to maximize the speed of model development and testing, which method should you choose to build this predictive model? | Google Professional Machine Learning Engineer Quiz