Group repository for predicting home credit default risk, part 2 of the Capstone 2 project.
A collaboration between Georgia Christodoulou, Andy Spendlove, and Adam Bushman. This is a featured group project for Capstone #2 (IS 6812) for the Eccles Business School Masters of Science Business Analytics graduate program.
The project features analytical workflows in data wrangling, data analysis, and data science, leveraged for the purpose of improving the business operations and capabilities. Review our work via in rendered notebooks.
The MSBA Capstone program project is defined as follows from the course work and syllabi:
The purpose of the MSBA capstone is to help students bridge from the sandbox of the classroom to the real world of data analytics in industry. It has two main objectives:
1 - Practice data science and communication skills in preparation for the analytics case competition in the third capstone.
2 - Develop a portfolio of your individual project-related analytics work at Github to showcase your technical and communication skills for prospective employers.
Other objectives include:
-> Networking with other students.
-> Learning from other students.
-> Filling gaps in your skillset.
-> Having fun!
Data set sourced from Kaggle: Home Credit Default Risk. Accessed 8/21/2024. Citation:
Anna Montoya, inversion, KirillOdintsov, Martin Kotek. (2018). Home Credit Default Risk. Kaggle. https://kaggle.com/competitions/home-credit-default-risk