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Analyzing Natality Data Using AI Platform and BigQuery

Analyzing Natality Data Using AI Platform and BigQuery

30분 크레딧 7개

GSP012

Google Cloud Self-Paced Labs

Overview

In this lab, you analyze a large (137 million rows) natality dataset using Google BigQuery and AI Platform.

What you learn

In this lab, you:

  • Launch AI Platform notebook
  • Invoke a BigQuery query
  • Create charts in Jupyter
  • Export data for machine learning

This lab illustrates how you can carry out data exploration of large datasets, but continue to use familiar tools like Pandas and Jupyter. The trick is to do the first part of your aggregation in BigQuery, get back a Pandas DataFrame, then work with the smaller Pandas DataFrame locally. AI Platform provides a managed Jupyter experience, so you don't need to run notebook servers yourself.

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  • Google Cloud Console에 대한 임시 액세스 권한을 얻습니다.
  • 초급부터 고급 수준까지 200여 개의 실습이 준비되어 있습니다.
  • 자신의 학습 속도에 맞춰 학습할 수 있도록 적은 분량으로 나누어져 있습니다.
이 실습을 시작하려면 가입하세요
점수

—/100

Invoke bigquery and run a query.

단계 진행

/ 20

Create AI Platform Notebooks instance.

단계 진행

/ 20

Run a query to get annual count of plural births by plurality

단계 진행

/ 20

Run a query to get baby weight by gender

단계 진행

/ 20

Run a query to get the weight of the baby which relates to the number of weeks of gestation.

단계 진행

/ 20