YouTube Trending Analytics Website
Course Project, Carnegie Mellon University, LTI, 2019
- Investigated factors that govern the YouTube trending page and visualized the presence of user and platform bias
- Hypothesized the reasons for existence of bias and demonstrated their variability across different countries
- Constructed a Machine Learning pipeline with XGBoost classifier to predict the likelihood of a video to trend
- Video Demo: https://www.youtube.com/watch?v=UlanYkq_VII