https://github.com/s-4-m-a-n/mlops-datatalks
this repo contains assignments of mlops course offered by DataTalksClub
https://github.com/s-4-m-a-n/mlops-datatalks
Last synced: 3 months ago
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this repo contains assignments of mlops course offered by DataTalksClub
- Host: GitHub
- URL: https://github.com/s-4-m-a-n/mlops-datatalks
- Owner: s-4-m-a-n
- Created: 2024-05-19T04:41:31.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-05-19T17:40:06.000Z (about 1 year ago)
- Last Synced: 2024-05-20T05:35:20.553Z (about 1 year ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 101 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Machine Learning Operation (MLops)
Machine Learning Operation, short for MLops, is a set of practices that automates and simplify machine learning workflow and deployment.
Basically, ML into production envolves multiple tasks from data preparation to model building and model building to deployment and monitoring, Mlops focuses on orchastration of these tasks into steamless pipeline to ensure maximum automation and reproduceability.