please explain this code

\# Fitting the ANN to the Training set model.fit(X_train, Y_train , batch_size =15, epochs =5, verbose=0) \# Generating Predictions on testing data Predictions=model.predict(X_test) \# Scaling the predicted Price data back to original price scale Predictions=TargetVarScalerFit.inverse_transform(Predictions) \# Scaling the y_test Price data back to original price scale Y_test_orig=TargetVarScalerFit.inverse_transform(y_test) \# Scaling the test data back to original scale Test_Data=PredictorScalerFit.inverse_transform(X_test) TestingData=pd.DataFrame(data=Test_Data, columns=Predictors) TestingData['Price']=y_test_orig TestingData['PredictedPrice']=Predictions TestingData.head()