Objective: Build a model to predict which medical insurance members will likely have transportation issues that inhibit their ability to access healthcare services.
Tools Used: Python, Pandas, scikit-learn, SMOTE, XG Boost, Matplotlib, Seaborn
Skills Demonstrated: Exploratory Data Analysis, Data Preprocessing, Model Building, Model Validation, Data Visualization