Predict Student GPA

In this competition, you will use data on student demographics, academic performance, and other factors to predict student GPA. The data set includes over 100 features, such as gender, ethnicity, religion, state of origin, age, hobby, school type, parental education level, extracurricular activity, learning disability, school location, tutoring/mentoring program, parental involvement level, bullying experience, study time, attendance percentage, self-motivation level, study environment rating, stress level, parental support rating, note-taking habits, number of extracurricular activities participated, number of leadership roles held, teacher quality rating, number of school resources available, peer interaction level, exam maths, exam english, exam social science, and GPA.

The competition will be evaluated using the Root Mean Square Error (RMSE) metric. The participant with the lowest RMSE will be the winner of the competition.

The competition is open to all participants. There is no entry fee.

To participate in the competition, you will need to create a Kaggle account and submit your predictions for the student's GPA. You can submit your predictions as often as you like. The final predictions will be evaluated on the test set.

The competition is a valuable opportunity to learn about the factors that contribute to student success. The data could be used to develop new interventions and programs to help students succeed in school.

I hope you will participate in the competition!