Simple linear regression analysis of Python

Use the Linear_model of the Sklearn library. Linearregression (), can be very simple linear regression analysis

Here is the code:

1 #Import the Linear_model class under the Sklearn library2  fromSklearnImportLinear_model3 #Import Pandas Library, alias for PD4 ImportPandas as PD5 6filename = r'D:\test.xlsx'7 #reading data Files8data =pd.read_excel (filename)9 Ten #transform the argument data into a matrix Onex = data.iloc[:,:1].values A #transformation dependent variable data as matrix -y = data.iloc[:,2].values - #print (x) the #print (y) -  - #call a linear regression function -CLF =Linear_model. Linearregression () + #Start linear regression calculation - clf.fit (x, y) + #get slope A Print(clf.coef_[0]) at #Get intercept - Print(Clf.intercept_)

Simple linear regression analysis of Python