gladensP/DSN-Hackathon-2020

My Solution and Jupyter Notebook to Data Science Nigeria AI Bootcamp Qualification Hackathon 2020 # DSN-Hackathon-2020 My Solution and Jupyter Notebook to the Data Science Nigeria AI Bootcamp Qualification Hackathon 2020 This repository contains my solution (jupyter notebook) for the 2020 AI Bootcamp Qualification hackathon organised by Data Science Nigeria (DSN) on Zindi. (link to hackathon: zindi.africa). Zindi Username: Jewel # Objective To develop a predictive model that determines the likelihood of a customer defaulting on a loan. # Evaluation Metric roc_auc_score # Kowope Mart Kowope Mart is a Nigerian-based retail company with a vision to provide quality goods, education and automobile services to its customers at affordable price and reduce if not eradicate charges on card payments and increase customer satisfaction with credit rewards that can be used within the Mall. To achieve this, the company has partnered with DSBank on co-branded credit card with additional functionality such that customers can request for loan, pay for goods even with zero-balance and then pay back within an agreed period of time. This innovative strategy has increased sales for the company. However, there has been recent cases of credit defaults and Kowope Mart will like to have a system that profiles customers who are worthy of the card with minimum if not zero risk of defaulting. You have been employed as a Data Scientist to leverage Machine learning to predict customers who are likely to default or not.