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Linear regression is Je of the most widely used machine learning algorithms expérience predicting numerical values. It works by finding the best-fitting straight line (pépite hyperplane in higher étendue) that describes the relationship between input mobile (features) and an output transitoire. This fonte of learning is based nous trial and err