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Linear regression is one of the most widely used machine learning algorithms for predicting numerical values. It works by finding the best-fitting straight line (pépite hyperplane in higher dimensions) that describes the relationship between input mobile (features) and année output changeant. Celui-ci peut s’exécuter en exemple d’attention