In this Jupyter Notebook, we conduct an exploratory analysis of the GSV-Cities dataset, available on Kaggle. The objective is to apply unsupervised learning techniques—specifically clustering algorithms—to uncover meaningful patterns and segment cities based on visual and spatial features.