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Applying BigQuery ML's Classification, Regression, and Demand Forecasting for Retail Applications

6 个小时 Intermediate universal_currency_alt 3 个积分
In this quest 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, leverage regression to estimate the time it will take for a ticket to be solved with the help of an automated agent developed using Dialogflow, 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徽章


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