mage-ai/machine_learning
The definitive end-to-end machine learning (ML lifecycle) guide and tutorial for data engineers.
This guide helps data engineers build and manage machine learning models from start to finish. It takes raw business problems and data, then walks you through preparing that data, training and evaluating models, deploying them for predictions, and continuously monitoring and retraining them. This is for data engineers responsible for the entire lifecycle of a machine learning system.
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Use this if you are a data engineer looking for a comprehensive, end-to-end tutorial to implement a machine learning workflow.
Not ideal if you are looking for a high-level overview or are not a data engineer involved in the technical implementation of ML systems.
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Language
Python
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Last pushed
Nov 14, 2024
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