Airbnb (www.airbnb.com) is interested in developing a pricing service for its users that will compute a recommended price based on the features of a listing. As a consultant, you are approached by Airbnb to develop a model for predicting nightly prices of Airbnb listings based on state-of-art techniques from statistical learning.
I will provide a built “Single Regression Decision Tree Model” by Python. You need to based on the model result, discuss this model in detail (including both the description of the methods/algorithms and the interpretation of the estimated models)
