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End to End Project - Bikes Assessment - Basic - Fine-Tuning the Selected Model - Run GridSearchCV

Let us run the GridSearchCV to get the Best Estimator and the Best Parameters

INSTRUCTIONS
  1. Run the Grid Search algorithm on the Training data set by calling the fit() method on grid_search object (that we created earlier), and passing to the fit() method following variables (that we created earlier) as parameters:

    • trainingCols
    • trainingLabels
  2. Print the 'best estimator' and 'best hyperparameters' that you got by executing the Grid Search algorithm above.

PS - It might take up to 10 minutes to run the fit method.


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