In supervised regression, algorithms learn from labeled data to predict continuous outcomes, like housing prices or temperature. Businesses use it for forecasting sales, while healthcare applies it to estimate patient recovery times. Data scientists and analysts benefit by making accurate, data-driven decisions, improving efficiency across industries ranging from finance to logistics.
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