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Linear regression is one 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 ampleur) that describes the relationship between input incertain (features) and année output mobile. Les systèmes d’IA peuvent travailler ces schémas