This repo contains a Python project that analyzes real estate data from Buenos Aires. It cleans, explores, and models the data to predict apartment prices based on location coordinates (latitude and longitude). The project showcases data preprocessing, exploratory data analysis (EDA), and machine learning techniques such as linear regression.
