🔰 Machine Learning Tutorial for Beginners

Basic Terminology

Dataset – Collection of data examples

Features – Input variables (e.g., height, weight)

Labels/Targets – Output variable (e.g., "obese" or "not obese")

Model – Mathematical representation that maps inputs to outputs

Training – The process of teaching the model using data

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