rjurney/Agile_Data_Code_2
Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition
This project provides the working code examples and interactive Jupyter Notebooks for 'Agile Data Science 2.0'. It helps data scientists and analysts learn to build end-to-end predictive systems, taking raw historical data, training models, and deploying real-time prediction applications. The user will input datasets and follow the structured examples to output functional data science solutions, such as a flight delay prediction system.
461 stars.
Use this if you are a data professional or aspiring data scientist looking to understand and implement real-time predictive systems and data pipelines using modern data science tools.
Not ideal if you are looking for an off-the-shelf application to solve a specific problem rather than learning to build data science systems from the ground up.
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461
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309
Language
Jupyter Notebook
License
MIT
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Last pushed
Feb 11, 2026
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