Intelligent Data Analytics: Final Project

Project Date: December 2016

Brief Project Description:

• Final project for DSA 5103: Intelligent Data Analytics which I took at the University of Oklahoma in the Fall of 2016. The class was taught by Dr. Charles Nicholson.
• The purpose of the project was to explore and analyze a data-intensive problem using the techniques learned in the course. The full project specifications can be found here.
• For my project, I worked with the Santander Customer Satisfaction dataset, which had previously been hosted on Kaggle. I used a variety of advanced analytics techniques; most notably, I wrote my own model stacking algorithm to boost the predictive power of the model.

Project Files:

• The completed project that I submitted. Note that the code for the project is included in Appendix D. (A grade of “A” was received for both the project and course.)