Deffro/end-to-end-ML-project
An end-to-end ML Project
This project helps machine learning engineers or data scientists deploy their machine learning models into production. It takes a model developed in a research environment, like a Jupyter notebook, and transforms it into a robust, packaged, and deployable application. The outcome is a live, accessible prediction service ready for real-world use.
No commits in the last 6 months. Available on PyPI.
Use this if you need a clear, practical guide and example of taking a machine learning model from experimental code to a fully deployed, production-ready system.
Not ideal if you are solely focused on improving model accuracy or performing initial data analysis, as this project prioritizes deployment practices over model development.
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11
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Language
Jupyter Notebook
License
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Category
Last pushed
Dec 19, 2022
Commits (30d)
0
Dependencies
16
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