Predict quantitative response variable from quantitative and qualitative variables I have to predict a quantitative response variable Y from p quantitative and q qualitative variables. There's around 100,000 rows in the data frame. What predictive methods can I use for that purpose?
You should use one of the regression methods for predicting a quantitative variable. For the qualitative features, you can binarize them to pass to the learning algorithm. If you use Python, scikit-learn provide classes for doing that in the preprocessing module.