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Unsupervised learning is where we do not rely on a labeled data set which has a target variable already defined. Instead, we rely upon clustering the datasets into groups and try to make predictions about the behavior. This is called unsupervised. learning. It’s a learning process where our machine has the. unlabeled data set to be processed and it has to find the unknown/unseen pattern in the. given data set. The machine self-learn from the unlabel. data set and allows modeling probability densities of the given input.