YOUTUBE ANALYTICS
OVERVIEW
During my Spring 2018 semester, I took a course called INFO 190- Data Mining and Analytics. For our final project, we had to choose a dataset and apply the concepts we had learned to build a machine learning model for it. My group wanted to explore data on YouTube videos, and we found this dataset on Kaggle, which has information on the title, description, tags, views, comments, likes, etc. on a database of trending videos.

We were all avid users of YouTube and knew that YouTube has recently become a platform dominated by influencers who put out sponsored videos and receive payment based on users' interaction with their content. After doing exploratory data analysis, we decided we wanted to predict user engagement with a video by using NLP techniques on a video's attributes such as its title, description, and tags.

The following is our final presentation: