Summary
The article guides on automating media plan creation using machine learning in BigQuery. It highlights the use of the ARIMA ML model to estimate time-series values, enhancing media planning and forecasting. It presents two use cases: forecasting daily transactions and daily CPC per advertising channel. The steps for data preparation, model training, evaluation, and making predictions are detailed.