Poisson regression options in python I want to predict count data. In my understanding both standard classification and regression are not well suited for this. A poisson or binomial regression algorithm seems to do the trick. 

I am used to doing most of my ML tasks in sklearn. But on this topic I could not find an implementation. Are there any suitable options within the python universe for this?
Not quite sklearn but have you tried xgboost?

The XGBRegressor in xgboost accepts many different objective functions including poisson count:poisson for count data.

It also plays nicely with sklearn so can be used with grid search, pipelines etc.