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GoogleCloudPlatform/data-science-on-gcp

data-science-on-gcp

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

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GoogleCloudPlatform

GoogleCloudPlatform

GoogleCloudPlatform • individual

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Feb 10, 2017

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README Summary

This repository contains source code and examples that accompany the O'Reilly book 'Data Science on the Google Cloud Platform' by Valliappa Lakshmanan. The code demonstrates practical data science workflows and machine learning implementations using various Google Cloud Platform services. It provides hands-on examples for building end-to-end data science solutions in the cloud.

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Cloud-based Machine LearningData Pipeline EngineeringFeature EngineeringModel Training and DeploymentBigQuery AnalyticsApache Beam ProcessingTensorFlow Model DevelopmentCloud ML OperationsData Preprocessing at ScaleBatch and Stream Processing

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Cloud-based Machine LearningData Pipeline EngineeringFeature EngineeringModel Training and DeploymentBigQuery AnalyticsApache Beam ProcessingTensorFlow Model DevelopmentCloud ML OperationsData Preprocessing at ScaleBatch and Stream ProcessingLarge-scale Data ProcessingCloud-native AICloud ML Pipeline DevelopmentReal-time AnalyticsFlight Delay PredictionServerlessTabularTransportationAviationData Warehouse AnalyticsScalable ML InfrastructureCloud APIPredictive ModelingMLOpsJupyter Notebook

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Updated 1 months ago

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production
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medium
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production

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MLOps & InfrastructurePrimaryInference & ServingML Platform & InfrastructureData Science & AnalyticsOther AI / MLModel Training

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Scale & ReliabilityDeveloper Platform

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Jupyter Notebook100.0%

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Project created
Feb 10, 2017
Forked
Mar 13, 2026
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1 months ago
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1 months ago
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Feb 20, 2026

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