Data Mining the Inside Airbnb Dataset: Predictive Modeling of Daily Rental Pricing in Airbnb’s London, Edinburg (1E) , Athens (Greece) Market The data set for the 3 cities is submitted AIM: Using some software like R, Matlab, Python (or other), various exploratory analysis and data mining techniques (like clustering, classification, regression, random forests, Bayesian Additive Regression, etc) to create pricing models for the 3 above cities that predict prices of rental listings (by quartile) using the dataset ( which I submit) and then to compare them (accuracy, goodness of fit, AUC, etc)
