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  For idx, col_name in enumerate(X_train.columns): print("The coefficient for {} is {}".format(file_name, regression_model.coef_[0][idx]))

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  Mean =[0,0] covariance = [[1,0],[0,100]] ds = np.random.multivariate_normal(mean,covariance,500) dframe = pd.DataFrame(ds, columns=['col1', 'col2']) fig = sns.kdeplot(dframe).get_figure() fig.savefig('kde1.png')

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