The algorithm is a set of instructions or a method used to generate a machine learning model. Linear regression, decision trees, support vector machines, and neural networks are a few examples of an algorithm. It’s different from a machine learning model as they are output by algorithms and are comprised of model data and a prediction algorithm.

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