Preprocessing the data is finally over (I really slacked off for a while, bad idea)!

This was actually fairly straightforward to do, it’s just that I kept having different ideas on how to implement the model. What I ended up settling on is a XGBoost gradient-boosted tree that predicts the national House lean (even though this will start by predicting Senate races) using three fundamentals, and then it will use a polling aggregate per race that gets more weight as election day nears.