An end-to-end Data Analysis/Science project that uses an (authorized) dataset from waze. In this project, user data is analyzed with the ultimate goal of creating a machine learning model that can predict user churn. During the stages of analysis, some concepts applied are: EDA and data cleaning, data visulization, statistics, hypothesis tets, ML models.