Use data to predict who is bailing on the course.
Source: Private kaggle competition
Welcome to "Stay or Stray: Predicting Online Course Dropout" - where data meets education in a battle of predictive prowess! In this Kaggle competition, participants are tasked with harnessing the power of early interactions and activity patterns within online course platforms to develop a cutting-edge predictive model.
As the demand for online education skyrockets, understanding student behavior becomes paramount. With dropout rates posing a significant challenge, the need for accurate predictions is more pressing than ever. Imagine being able to identify at-risk students before they disengage, providing timely interventions and support to keep them on track.
From login frequency to assignment completion rates, every click and keystroke holds valuable information waiting to be deciphered. Join us in this exciting journey as we strive to answer the ultimate question: Who's Bailing?