Скачать или смотреть How AI Projects Work, Explained Simply

Ever wondered how AI projects actually go from an idea to a working system? 🤖

In this video, we break down the complete AI project lifecycle using a simple and relatable cooking metaphor. From requirement gathering to deployment and monitoring, you’ll understand how machine learning models are built, trained, evaluated, and improved — step by step.

Whether you're a student, data science beginner, business professional, or aspiring ML engineer, this video explains complex AI concepts in a clear and practical way.

In this video, you’ll learn:
➡️Requirement gathering in AI projects
➡️Data collection and data preparation
➡️Exploratory Data Analysis (EDA)
➡️Feature engineering
➡️Model selection and training
➡️Model evaluation and fine-tuning
➡️Model deployment
➡️Monitoring and feedback loops

By the end, you’ll understand how raw data transforms into real-world AI systems — just like ingredients becoming a finished dish.

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