Ultimate access to all questions.
You work as a data scientist for a large hotel chain and have been asked to assist the marketing team in developing a targeted marketing strategy. The goal is to make predictions about user lifetime value (LTV) over the next 20 days so that marketing efforts can be adjusted accordingly. The customer dataset is stored in BigQuery, and you are preparing this tabular data for training with Google Cloud's AutoML Tables. The dataset contains multiple columns that have time-related information, rather than a single unified time column. How should you proceed to ensure that AutoML builds the most accurate model based on your data?