Machine Learning Development Life Cycle Explained | Essential Steps From Idea to Deployment

Описание: In this video, we break down the Machine Learning Development Life Cycle (MLDLC) essential stages every data scientist and ML engineer must know.

From framing the problem to deployment and monitoring, you’ll learn how real-world ML systems are built step by step.

Whether you’re a beginner in machine learning or an aspiring AI/data scientist, this roadmap gives you a clear understanding of how ML models evolve from raw data to scalable real-world applications.

🔥 Watch till the end to discover why most ML projects fail and how you can avoid those pitfalls by mastering this framework.
💬 Drop a comment below: Which MLDLC stage do you find the most challenging - data preprocessing or deployment?
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