How do I plot for Multiple Linear Regression Model using matplotlib
You can use Seaborn's regplot function, and use the predicted and actual data for comparison. It is not the same as plotting a best fit line, but it shows you how well the model works.
sns.regplot(x=y_test, y=y_predict, ci=None, color="b")
I try to Fit Multiple Linear Regression Model
Y= c + a1.X1 + a2.X2 + a3.X3 + a4.X4 +a5X5 +a6X6 
Had my model had only 3 variable I would have used 3D plot to plot.
How can I plot this . I basically want to see how the best fit line looks like or should I plot multiple scatter plot and see the effect of individual variable 
Y = a1X1 when all others are zero and see the best fit line.
What is the best approach for these models. I know it is not possible to visualize higher dimensions want to know what should be the best approach. I am desperate to see the best fit line