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MLflow Crash Course - Model Registry and Model Deployment

Learn from the DagsHub professionals what MLflow is and why it should be part of your MLOps tool kit. Gain hands-on experience using it to track experiments, register models, and deploy them to AWS. In this session, Yono covers the following topics: 1. Model Registry - How to log and manage your machine learning models with MLflow. 2. Model Deployment - How to deploy your machine learning model to a cloud provider. 3. Hands-on experience deploying your trained model from the MLflow registry to AWS. 📚 Additional Materials: The Colab Notebook: https://colab.research.google.com/dri... The Mario vs. Wario project that we used for the demo - https://dagshub.com/nirbarazida/mario... Time-stamps 00:00 - Meet & Great 02:23 - Intro + Signup 05:57 - Recap of MLflow 101 Webinar 07:53 - Agenda 09:09 - Model Registry 15:50 - Model Deployment 19:10 - Hands-on experience - setup 27:03 - Hands-on experience - Model Registry 50:38 - Hands-on experience - Model Deployment If you want to hear more about what we are doing at DagsHub, here are some interesting links for you: 🌐 Our Website: https://dagshub.com 📖 Our Blog: https://dagshub.com/blog/ 🥰 We welcome you to join our community on Discord:   / discord   Social Links: 🔗 LinkedIn:   / dagshub   🐥 Twitter:   / therealdagshub   DAGs out 🤙🏼