Hello Everyone, I am new to Data science. I have a query is data over dispersed because it contain lots of zero’s in many column. I was going to apply negative binomial regression but for over dispersion of zeros, zero inflated regression is appropriate.

Over-dispersion happens when the variance>mean. An assumption of a Poisson distribution is that those two are equal. An abundance of zeroes in your count variable can be a cause of over-dispersion. I believe most of the time analysts will use other methods when this occurs, in particular negative binomial, ZIP (zero inflated poisson), and ZINB (zero inflated negative binomial) & see which performs best.