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You're reading from  Cracking the Data Science Interview

Product typeBook
Published inFeb 2024
PublisherPackt
ISBN-139781805120506
Edition1st Edition
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Authors (2):
Leondra R. Gonzalez
Leondra R. Gonzalez
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Leondra R. Gonzalez

Leondra R. Gonzalez is a data scientist at Microsoft and Chief Data Officer for tech startup CulTRUE, with 10 years of experience in tech, entertainment, and advertising. During her academic career, she has completed educational opportunities with Google, Amazon, NBC, and AT&T.
Read more about Leondra R. Gonzalez

Aaren Stubberfield
Aaren Stubberfield
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Aaren Stubberfield

Aaren Stubberfield is a senior data scientist for Microsoft's digital advertising business and the author of three popular courses on Datacamp. He graduated with an MS in Predictive Analytics and has over 10 years of experience in various data science and analytical roles focused on finding insights for business-related questions.
Read more about Aaren Stubberfield

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Packaging for model deployment

Once you’re happy with the model that you’ve chosen in the model development process, it is time for the model deployment process! However, before deploying the model, it is important that it’s properly packaged for production. There are a number of approaches to packaging an ML software program, but we will review the version that you are more equipped to learn – Python pip packages.

pip is the standard package manager for Python, and it is used to install, upgrade, and manage Python libraries and dependencies. A Python pip package refers to a software package that can be easily installed and managed using the pip package manager.

Most Python packages are hosted on the Python Package Index (PyPI), which is a repository of Python packages that can be easily accessed and installed using pip. These packages are designed to be libraries or reusable modules that can be imported and used in other Python scripts or projects...

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Cracking the Data Science Interview
Published in: Feb 2024Publisher: PacktISBN-13: 9781805120506

Authors (2)

author image
Leondra R. Gonzalez

Leondra R. Gonzalez is a data scientist at Microsoft and Chief Data Officer for tech startup CulTRUE, with 10 years of experience in tech, entertainment, and advertising. During her academic career, she has completed educational opportunities with Google, Amazon, NBC, and AT&T.
Read more about Leondra R. Gonzalez

author image
Aaren Stubberfield

Aaren Stubberfield is a senior data scientist for Microsoft's digital advertising business and the author of three popular courses on Datacamp. He graduated with an MS in Predictive Analytics and has over 10 years of experience in various data science and analytical roles focused on finding insights for business-related questions.
Read more about Aaren Stubberfield