Ridge regression model using cross validation technique and Grid-search technique

I created python code for ridge regression.For that I used cross validation and grid-search technique in together. i got output result. I want check whether my regression model building steps correct or not? can some one explain it? from sklearn.linear_model import Ridge ridge_reg = Ridge() from sklearn.model_selection import GridSearchCV params_Ridge = {‘alpha’: [1,0.1,0.01,0.001,0.0001,0] , “fit_intercept”:…

Details