For the sake of my own exploration, I am working on a sales prediction project. I am using text extracted from a set of books to build a predictive model.
With scikit learn, I have created a Tfidf, and together with the numeric sales numbers, I created a SGDRegressor. But I'd like to practice with other models.
I am looking over the options available to me, and I'm wondering, what other algorithms might be useful in this kind of regression scenario? And/or, what other algorithms in scikit learn will take a tfidf as the dataset?