How to Use MLflow for Experiment Tracking | Python Demo + Hands-On Guide 🤖 AI with UDAY 🙂

Опубликовано: 01 Август 2026
на канале: AI with Uday
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In this video, I’ll walk you through MLflow, a powerful open-source platform to manage machine learning experiments. We’ll cover everything from tracking parameters and metrics to using the model registry — with a complete hands-on example at the end.

📌 Topics Covered:

What is MLflow?

Why use MLflow?

MLflow Tracking, Projects, Models & Registry

Real-world use case

Code walkthrough with example

🔧 Tools Used: Python, MLflow, scikit-learn

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