Machine Learning, Data Science, Pogramming, Statistics, Python.
provides us with functionality to define a grid of parameters and to pick the optimum one. Let us see how that can be used to decide on a proper degree for our prediction. from sklearn.model_selection import GridSearchCV from sklearn.pipeline import Pipeline param_grid = [ {'poly__degree': [2, 3,