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Predict Taxi Fare with a BigQuery ML Forecasting Model

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Predict Taxi Fare with a BigQuery ML Forecasting Model

1 godz. Punkty: 7

GSP246

Google Cloud Self-Paced Labs

Overview

BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage, or needing a database administrator.

BigQuery Machine Learning BQML is where data analysts can create, train, evaluate, and predict with machine learning models with minimal coding.

In this lab, you will explore millions of New York City yellow taxi cab trips available in a BigQuery Public Dataset. You will create a machine learning model inside of BigQuery to predict the fare of the cab ride given your model inputs and evaluate the performance of your model and make predictions with it.

Objectives

In this lab, you will learn to perform the following tasks:

  • Use BigQuery to find public datasets.
  • Query and explore the public taxi cab dataset.
  • Create a training and evaluation dataset to be used for batch prediction.
  • Create a forecasting (linear regression) model in BQML.
  • Evaluate the performance of your machine learning model.

What you'll need

Dołącz do Qwiklabs, aby zapoznać się z resztą tego modułu i innymi materiałami.

  • Uzyskaj tymczasowy dostęp do Google Cloud Console.
  • Ponad 200 modułów z poziomów od początkującego do zaawansowanego.
  • Podzielono na części, więc można uczyć się we własnym tempie.
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