In this course you will learn how to use several BigQuery ML features to improve retail use cases. Predict the demand for bike rentals in NYC with demand forecasting, and see how to use BigQuery ML for a classification task that predicts the likelihood of a website visitor making a purchase.
Applying BigQuery ML's Classification, Regression, and Demand Forecasting for Retail Applications
Google via Google Cloud Skills Boost
Overview
Syllabus
- Applying BQML's Classification, Regression, and Demand Forecasting for Retail Applications
- Introduction to SQL for BigQuery and Cloud SQL
- Building Demand Forecasting with BigQuery ML
- Predict Visitor Purchases with a Classification Model in BigQuery ML
- Predict Taxi Fare with a BigQuery ML Forecasting Model
- Your Next Steps
- Course Badge
