Data Science Final Project (2017) - Loan Predictor

This competition concerns loan data. When a customer applies for a loan, banks and other credit providers use statistical models to determine whether or not to grant the loan based on the likelihood of the loan being repaid. The factors involved in determining this likelihood are complex, and extensive statistical analysis and modelling are required to predict the outcome for each individual case. You must implement a model that predicts loan repayment or default based on the data provided. The dataset used in this competition consists of synthetic data that was generated specifically for use in this project. The data is designed to exhibit similar characteristics to genuine loan data.