ashishpatel26/MLOps-Engineering-in-Action
Reference code base for ML Engineering in Action, Manning Publications Author: Ben Wilson
This project provides practical code examples and additional insights for professionals learning about Machine Learning Engineering. It takes the concepts and theories from the "Machine Learning Engineering in Action" book and provides working Jupyter notebooks and Databricks archives. The target user is a machine learning engineer or data scientist looking to apply MLOps principles and best practices in real-world scenarios.
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Use this if you are reading the "Machine Learning Engineering in Action" book and want to run, experiment with, and extend the code examples discussed in the chapters.
Not ideal if you are looking for a standalone machine learning project to deploy or a comprehensive library for MLOps, as this is primarily a learning companion.
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Oct 22, 2023
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