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Feature is a set of independent variables that is taken as input by a Machine Learning algorithm. The two main commonly used type of features are numerical and categorical. The former are made of numerical values that can be measured (and compared and sorted) on a scale, e.g. price. The latter are discrete non numerical values, e.g. strings, which can be grouped into categories, e.g. gender, colour, nationality.