LENDING CLUB - Loan Status Prediction| Tools Used: Python, Scikit Learn, Pandas
• Performed feature selection, extraction, built classification and ensemble methods to predict borrowers who tend to default.
• Applied k-fold cross validation to select best parameters of the model and obtained 91% prediction accuracy using ensemble methods