Taylor Scott Amarel

Experienced developer and technologist with over a decade of expertise in diverse technical roles. Skilled in data engineering, analytics, automation, data integration, and machine learning to drive innovative solutions.

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Demystifying Feature Scaling and Normalization for Machine Learning

The Importance of Feature Scaling in Machine Learning In the realm of machine learning, where algorithms learn from data to make predictions, the quality and preparation of that data play a pivotal role. One crucial aspect of data preprocessing is feature scaling and normalization, techniques that transform numerical features to a specific range or distribution.