Production ready MLFlow Setup on Your Computer

Set up a production-ready MLFlow stack with MLFlow, PostgreSQL, MinIO, and Docker to track machine learning experiments on your computer. You can easily share this setup with everyone in your team and replicate it on cloud services such as AWS or GCP. 📚 Materials: GitHub repository (give it a ⭐️): https://github.com/violincoding/mlflow-setup Blog post: https://erikdao.com/machine-learning/production-ready-mlflow-setup-in-your-local-machine/ 💻 Join our Facebook Community: https://www.facebook.com/ViolinCoding 🖼️ Follow us on Instagram: https://www.instagram.com/violin.coding 💼 Business Inquiries: [email protected] Timestamps: 00:00 - Intro 00:11 - MLFlow Interlude 00:44 - Why the default pip install mlflow doesn't work 01:55 - Production-ready MLFlow stack 03:05 - Setup PostgreSQL 05:50 - Setup MinIO 07:50 - Create mlflow bucket automatically 09:55 - Setup MLFlow 14:06 - Test our setup 16:15 - Outro Do you have any questions, comments, or suggestions? Drop them in the comment box below! If you liked the video hit like and subscribe for more! Thanks for watching! #mlflow #mlops #machinelearning