The critical bridge between raw data and intelligent models

Space · Published 25 October 2026 Swipe more like this →

In short: Before an AI can make predictions, it must first understand its input. This video breaks down Data Exploration as a core stage of the Artificial Intelligence Project Cycle for students.

Data Exploration is the third step in the standard AI Project Cycle, following Problem Scoping and Data Acquisition. It serves as the essential phase where raw information is analyzed to uncover patterns before moving into Modelling and Evaluation.

The video provides a comprehensive overview of how students can navigate this process, ensuring they understand how data transforms from a collection of points into actionable insights for machine learning.

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