The video explains the step-by-step approach to setup MLFlow on the Google Cloud Platform.
Following steps involved in setup MLFlow on GCP:
1. Create a PostgreSQL DB for storing model metadata.
2. Create a Google Cloud Storage Bucket for storing artifacts.
3. Create a Compute Engine instance to install MLFlow and run the MLFlow server
Notebook Link: https://github.com/karndeepsingh/Mlfl...
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