A place to live online.
Written by Jia Xu
This was my very first and unique datathon experience. This datathon was composed of teams made up of both Fulton Bank employees and Penn students challenged with developing insights and recommendations for Fulton Bank using their data around selected business challenges in Consumer and Small Business, Fulton Financial Advisors, Information Technology, Marketing, and Risk Management.
The goals in this study are 1) to identify important words associated with positive ratings and negative ratings, and 2) to predict ratings using different methods.
Predicting students’ academic performance at school using regression methods is not a new area of interest. Machine learning methods, however, are relatively new in this field and it has been flourishing in recent years. According to Ghorbani and Ghousi (2020), due to technological advancements, predicting students’ performance at school is among the most beneficial and significant research topics nowadays. Therefore, we believe that it is a meaningful area for us to focus on and we decide to analyze the Open University Learning Analytics Dataset to study the student’s academic performance.