A simplified and visual Scikit-Learn summary highlights some key aspects used to implement machine learning solutions: data pre-processing, model fitting, model performance evaluation, model tuning. This guides shows the generalization used by this Python Library to use Data Preparation methods and Model fitting models in the same way and how they can be connected through the use of pipelines.
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