How to handle negative integer values in a data set? Suppose we have a data set of fields with negative integer values. So can we consider that fields with negative values for further proceedings or do we need to ignore that fields?
If we can consider those negative values then please tell me how will we process it?

The dataset is bank_data
There are no problem with negative inputs values, as long as it's mean something. As Ankit Saith said in the comment, temperatures can be negative, money too (positive is money I earn, negative the money I lose) and so on. Of course, inputs like distances should not be negative !

Furthermore, generally in deep learning, you normalize your dataset to have inputs with 0 mean and a std of 1. Then you have "small" value around 0 which can be positive or negative !