APPLICATIONS OF MACHINE LEARNING

Open Access
Author:
Chen, Edward Jing
Area of Honors:
Statistics
Degree:
Bachelor of Science
Document Type:
Thesis
Thesis Supervisors:
  • Ethan Fang, Thesis Supervisor
  • Murali Haran, Honors Advisor
Keywords:
  • machine learning
  • kaggle
  • data science
  • data analytics
Abstract:
This paper introduces the Zillow's Home Value Prediction Challenge and YouTube-8M Video Understanding Challenge hosted as Kaggle competitions and also describes my approach to experimenting with various models. For each of my experiments, I provide the score result as well as possible improvements to be made. Towards the end of the paper, I discuss the various ensemble learning techniques that I applied on the dataset which significantly boosted my overall competition score. Finally, I discuss the exciting future of video understanding research and also the many applications that such research could significantly improve.