MLflow Explained for Beginners | Step-by-Step Using Google Colab скачать в хорошем качестве

MLflow Explained for Beginners | Step-by-Step Using Google Colab

In this video, I explain MLflow in a beginner-friendly and practical way using Google Colab. My name is Ayush Dubey, and I am a Computer Science (AI & ML) student from RCET Bhilai, Chhattisgarh. In this tutorial, I show step-by-step how to use MLflow for tracking machine learning experiments, logging parameters and metrics, and managing trained models. This video is ideal for: • Machine Learning beginners • AI & ML students • College projects and viva • Anyone learning MLOps basics What you will learn in this video: • What is MLflow and why it is used • MLflow components and workflow • How to use MLflow in Google Colab • Logging parameters, metrics, and models • Running multiple experiments and comparing results • Real-world use cases of MLflow Tools & Technologies used: • Python • MLflow • Scikit-learn • Google Colab If you found this video helpful: Like 👍 | Share | Subscribe 🔔 Hashtags: #MLflow #MachineLearning #MLOps #DataScience #AI #MLflowTutorial #GoogleColab #Python #AIML #BeginnerFriendly #MLProject #CollegeProject