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

6 ore Intermediate universal_currency_alt 3 crediti
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.
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  • Lab

    Introduzione a SQL per BigQuery e Cloud SQL

    In questo lab apprenderai clausole SQL di base e proverai in prima persona a eseguire query strutturate su BigQuery e Cloud SQL.

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    Integrating BigQuery ML with Dialogflow ES Chatbot

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    Predict Visitor Purchases with a Classification Model in BigQuery ML

    In this lab you will use a newly available ecommerce dataset to run some typical queries that businesses would want to know about their customers’ purchasing habits.

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    Predict Taxi Fare with a BigQuery ML Forecasting Model

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