This repository is a hub for learning and sharing knowledge on Machine Learning Operations (MLOps). It serves as a collaborative space for code and insights related to machine learning models.
MLOps, or Machine Learning Operations, refers to the practices and tools designed to deploy, monitor, and manage machine learning models efficiently in production. It's an interdisciplinary field that merges DevOps, data engineering, and machine learning principles to facilitate the seamless development and deployment of ML systems.
git clone
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.We welcome contributions from everyone! Whether you're fixing bugs, adding new features, or improving documentation, your help is appreciated. Check out the issues for ideas on where to start.
Thank you for being a part of our MLOps journey!