DatasetFor an E-Commerce platform, I have a lot of products (Ad_Group_ID), for each product, I have the number of people that arrive on the landing page (Clicks) ; and the number of leads = the number of people that will buy the product (Conversions). Example:Date,       Ad_group_ID,Clicks,Conversions2017-08-17, product1,   10,    12017-08-18, product1,   100,   102017-08-17, product2,   5,     02017-08-18, product2,   50,    5GoalI want to predict the number of leadsMathematical ModelI imagine this is going to follow a binomiale distribution like:ML-DesignI wrote a class BinomialePredictor, that will delegate to scipy.binom. The results of the evaluation are acceptable IMHO (it has been wayyyy worse with try with Stochastic Gradient Descent and so on).QuestionIs there a module of scikit-learn that do this kind of Binomial regression? I think it's very strange. Or which kind of modeling would be better fit scikit-learn
Binomial model in scikit-learn
predictive modeling;scikit learn;probability;model selection