I have a dataset with different types of numerical values (both negative and positive numerical values) for the inputs (for example, -40, -35, 1, 25, 39, etc., that is, multiple inputs) and single output numerical value (either negative or positive).
I have tried to use linear regression, but I haven't been so successful and I think one of the reasons is negative values.
What is the best way to deal with this scenario? What model should I use?
I am using Keras for my AI model.