PatrickCmd/mlops-project
An end-to-end machine learning (mlops) project
This project helps MLOps engineers manage the lifecycle of machine learning models. It takes raw data, trains models, tracks experiments, and deploys the final model as a web service. The output is a robust, version-controlled machine learning model ready for use in applications.
No commits in the last 6 months.
Use this if you are an MLOps engineer or data scientist looking for an example of an end-to-end machine learning project flow, from data ingestion to model deployment, using popular MLOps tools.
Not ideal if you are looking for a plug-and-play solution for a specific business problem, as this project focuses on demonstrating MLOps infrastructure rather than solving a unique domain-specific challenge.
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51
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29
Language
Jupyter Notebook
License
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Last pushed
Aug 05, 2022
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