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Linear regression is Nous of the most widely used machine learning algorithms connaissance predicting numerical values. It works by finding the best-fitting straight line (or hyperplane in higher élévation) that describes the relationship between input incertain (features) and an output mobile. Feature mutation involves modifying data to make it