Day 04 : MLflow Model Registry Explained | MLOps Tutorial Series ๐
About this lesson
๐ Welcome to Day 04 of our MLflow Series! In this session, we dive deep into the MLflow Model Registry, a powerful tool for managing and deploying machine learning models. ๐ What You'll Learn: โ What is the MLflow Model Registry? โ How to register, version, and manage your machine learning models. โ Step-by-step practical implementation using Logistic Regression on iris data. โ How to identify and deploy the best model seamlessly. GitHub Link : https://github.com/jitender-insights/MLOps-Course/tree/main Whether you're a beginner or looking to strengthen your MLOps skills, this session will guide you step by step. Perfect for data scientists and machine learning enthusiasts! ๐ ๐ฃ Join the DataSciLearn Community: ๐ท Instagram: https://www.instagram.com/datascilearn/ ๐ฃ YouTube: https://www.youtube.com/@datascilearn ๐บ Telegram: https://t.me/datascilearn ๐ผ LinkedIn: https://www.linkedin.com/company/datascilearn ๐ Donโt forget to like, share, and subscribe to DataSciLearn for more tutorials! #MLflow #MachineLearning #MLOps #DataSciLearn
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