Concept: Scaling numerical features is an azure video
dp-100-data-scientist-assoc video for concept: Scaling numerical features is an essential step in machine learning preprocessing. Often, the range of values for
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Concept: Scaling numerical features is an essential step in machine learning preprocessing. Often, the range of values for each input feature varies significantly between features. Many machine learning algorithms are sensitive to the magnitude of these features. Without feature scaling, models may assign higher weights to features with larger magnitudes, regardless of their true importance to the predicted output. Definition: One common scaling approach works by mathematically rescaling the data into the range [0, 1]. Question: Which feature scaling technique is best described by this definition?