PatrickCmd/mlops-project

An end-to-end machine learning (mlops) project

36
/ 100
Emerging

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.

MLOps engineering Machine Learning Lifecycle Model Deployment Experiment Tracking Workflow Orchestration
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 8 / 25
Community 20 / 25

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Stars

51

Forks

29

Language

Jupyter Notebook

License

Last pushed

Aug 05, 2022

Commits (30d)

0

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