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You're reading from  Data Science Projects with Python - Second Edition

Product typeBook
Published inJul 2021
Reading LevelIntermediate
PublisherPackt
ISBN-139781800564480
Edition2nd Edition
Languages
Python
Concepts
Data Science
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Author (1)
Stephen Klosterman
Stephen Klosterman
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Stephen Klosterman

Stephen Klosterman is a Machine Learning Data Scientist with a background in math, environmental science, and ecology. His education includes a Ph.D. in Biology from Harvard University, where he was an assistant teacher of the Data Science course. His professional experience includes work in the environmental, health care, and financial sectors. At work, he likes to research and develop machine learning solutions that create value, and that stakeholders understand. In his spare time, he enjoys running, biking, paddleboarding, and music.
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Final Thoughts on Delivering a Predictive Model to the Client

We have now completed the modeling activities and also created a financial analysis to indicate to the client how they can use the model. While we have completed the essential intellectual contributions that are the data scientist's responsibility, it is necessary to agree with the client on the form in which all these contributions will be delivered.

A key contribution is the predictive capability embodied in the trained model. Assuming the client can work with the trained model object we created with XGBoost, this model could be saved to disk as we've done and sent to the client. Then, the client would be able to use it within their workflow. This pathway to model delivery may require the data scientist to work with engineers in the client's organization, to deploy the model within the client's infrastructure.

Alternatively, it may be necessary to express the model as a mathematical equation...

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Data Science Projects with Python - Second Edition
Published in: Jul 2021Publisher: PacktISBN-13: 9781800564480
© 2021 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Stephen Klosterman

Stephen Klosterman is a Machine Learning Data Scientist with a background in math, environmental science, and ecology. His education includes a Ph.D. in Biology from Harvard University, where he was an assistant teacher of the Data Science course. His professional experience includes work in the environmental, health care, and financial sectors. At work, he likes to research and develop machine learning solutions that create value, and that stakeholders understand. In his spare time, he enjoys running, biking, paddleboarding, and music.
Read more about Stephen Klosterman

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