Tech Fixx · Video
What Is a Dataset? Features, Labels & Splits for AI Beginners
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A dataset is an organised collection of examples used to explore a question, test an idea or train and evaluate a machine-learning model. This beginner lesson explains the building blocks in plain English.
You’ll learn: • Rows, observations, columns and variables • Features and target labels • Numerical, categorical, text, image and audio data • Training, validation and test sets • Metadata and data documentation • Why quality and representativeness matter
A large dataset is not automatically a good one. The examples must be relevant to the task, collected responsibly and checked for errors or gaps.
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