Supervised Learning

Supervised Learning consists of finding the link between observed data X, and an eternal variable Y (target) that we are trying to predict. If the prediction task is to classify the observation in a set of finite labels then the task is said to be Classification. If the task is to predict a continous target variable then the task is called Regression


* All Supervised estimators in scikit implement a fit(X,y) method to fit the model. and a predict(X) method that given an unlabeled observations X, returns the predicted labels y


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