Top features of linear regression in python
Look at the coefficients for each of the features. Ignore the sign of the coefficient:

A large absolute value means the feature is heavily contributing.
A value close to zero means the feature is not contributing much.
A value of zero means the feature is not contributing at all.
So I had to create a linear regression in python, but this dataset has over 800 columns. Is there anyway to see what columns are contributing most to the linear regression model? Thank you.