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View All on GitHubAI Summary: This issue outlines the initial setup for a new project by integrating an existing Jupyter notebook. It involves establishing a standard project structure with dedicated directories for data, models, notebooks, and source code. Key steps include setting up a Python virtual environment, defining dependencies in `requirements.txt`, adding the data and notebook, and verifying its successful execution before updating the repository.
This project is dedicated to applying core MLOps principles to a complete end-to-end machine learning workflow.
This project is dedicated to applying core MLOps principles to a complete end-to-end machine learning workflow.
This project is dedicated to applying core MLOps principles to a complete end-to-end machine learning workflow.