10,000 student records containing 25 features that span study habits, demographic data, and GPA outcomes. The dataset provides granular behavioral metrics alongside academic performance indicators for a large-scale cohort.
Use Cases
- Build a regression model to predict GPA outcomes based on study habits and demographic features
- Identify key behavioral predictors of academic success using the 25 available feature columns
- Conduct demographic analysis to determine if specific background factors correlate with higher GPA outcomes
Strengths
- 10,000 unique student observations
- 25 distinct feature columns covering behavioral and demographic variables
- Includes GPA outcomes as a primary target metric