ml-engineer-pro video for you have a task to train a regression model using a dataset stored in BigQuery, consisting of 50,000 records. The dataset contains 20
You have a task to train a regression model using a dataset stored in BigQuery, consisting of 50,000 records. The dataset contains 20 features, a mix of categorical and numerical, and the target variable can have negative values. Your goal is to achieve high model performance while minimizing both effort and training time. What is the most suitable approach to train this regression model efficiently?