I'm working on a project that is based on a dataset containing different columns with a lot of values near zero. We have a mean of ~85% of values near zero for each of those columns. In the first instance, we employed a MinMax Normalization but I think there is a better normalization method to handle this type of data, isn't it?

In few words, What I'm looking for is a Normalization method that can better spread low-value data in a range [0, 1]