This document discusses using Bayesian analysis and probabilistic modeling to build a tool that analyzes Craigslist housing listings data. It extracts key information like price and location from listings to develop probability distributions that can predict likely prices given a location. The tool would filter out spam and noise words to focus on useful attributes. The model uses Gaussian and box car distributions for the likelihood and prior probabilities.