GoogleCloudPlatform/data-science-on-gcp
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
This project provides practical code examples for data scientists and machine learning engineers to apply data science techniques on Google Cloud Platform. It offers hands-on guidance for building data science solutions using GCP services, taking raw data and turning it into actionable insights or deployable machine learning models. The target users are data professionals who want to leverage cloud infrastructure for their analytical and ML workflows.
1,409 stars.
Use this if you are a data scientist or machine learning engineer looking for concrete, executable examples to implement data science and machine learning projects on Google Cloud Platform.
Not ideal if you are looking for a general-purpose data science library or a theoretical explanation of machine learning concepts without a specific focus on Google Cloud.
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Jupyter Notebook
License
Apache-2.0
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Last pushed
Feb 20, 2026
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