Nonlinear Data, Nonlinear Regression, Polynomial Regression, Data Transformation, Multivariate Regression.
ready for building a SLR model. On this converted dataset, we will now create a simple linear regression model with the sklearn LinearRegression() method. When we print the metrics after building the model, we get the following result: R2-Square Value: 0.9996 RSS: 7.083 MSE: 0.071 EMSE: 0.266 A