Feature Scaling for Single input variable

Do we need to apply feature scaling if we are fitting a linear regression model on a data that only has single input variable or single feature with a range of 200 - 30,000?

Besides converging faster, if we do scaling, we can use our rule-of-thumb learning rate to do most of the training for neural network of similar architecture.

I think these are some benefits of scaling. If you agree on the above, do you think we “need to”?

Cheers,
Raymond

2 Likes

So we need to perform feature scaling for univariate linear regression?

Hello @realarslan33,

We can choose to, in order to have the benefits.

1 Like

Thanks