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Exploratory Data Analysis Using AI Platform

Exploratory Data Analysis Using AI Platform

1 jam 30 menit 7 Kredit

GSP203

Google Cloud Self-Paced Labs

Overview

In this lab you will learn the process of analyzing a data set stored in Google BigQuery using AI Platform to perform queries and present the data using various statistical plotting techniques. The analysis will help you discover patterns in the data that will allow you to predict probable arrival time delays given the initial flight details and actual departure time.

AI Platform is a powerful interactive tool created to explore, analyze, transform and visualize data and build machine learning models on Google Cloud Platform. It runs on Google Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks.

Google BigQuery is a RESTful web service that enables interactive analysis of massively large datasets working in conjunction with Google Storage.

The data set that is used provides historic information about internal flights in the United States retrieved from the US Bureau of Transport Statistics website. This data set can be used to demonstrate a wide range of data science concepts and techniques and will be used in all of the other labs in the Data Science on Google Cloud Platform Quest.

Bergabunglah dengan Qwiklabs untuk membaca tentang lab ini selengkapnya... beserta informasi lainnya!

  • Dapatkan akses sementara ke Google Cloud Console.
  • Lebih dari 200 lab mulai dari tingkat pemula hingga lanjutan.
  • Berdurasi singkat, jadi Anda dapat belajar dengan santai.
Bergabung untuk Memulai Lab Ini
Skor

—/100

Create the AI Platform notebook instance

Jalankan Langkah

/ 10

Run Queries in Jupyter notebook

Jalankan Langkah

/ 20

Run Queries in Bigquery

Jalankan Langkah

/ 50

Execute query in AI Platform to visualize thresholded data

Jalankan Langkah

/ 10

Execute query in Jupyter notebook to derive the probability distribution function from the data itself

Jalankan Langkah

/ 10