This document summarizes an analysis of Airbnb bookings by first-time users. It describes the objectives to analyze booking locations and social/seasonal trends. Five datasets were used, including training, test, and session data that was cleaned and preprocessed. Initial analysis found trends in social media and seasonal bookings over time. Tools like Excel, RStudio, and ArcGIS were used to perform techniques like decision trees, XGBoost, and linear regression. Models analyzed associations between variables and earlier models were compared. Key findings included expected bookings by country, with the US having the most bookings. The document concludes with limitations and compares results to competition winners.