Student Performance Dataset

This dataset contains information on academic, behavioral, and demographic factors that influence student exam performance. It is designed to support exploratory data analysis and baseline machine learning tasks related to educational outcomes.

The dataset includes variables such as study hours, attendance, previous academic scores, parental involvement, access to learning resources, motivation level, and lifestyle factors. The primary target variable is Exam_Score, which represents the final academic performance of students.

This cleaned version of the dataset has been preprocessed to handle missing values, remove inconsistencies, and prepare the data for statistical analysis and machine learning modeling. It is suitable for regression analysis, feature importance studies, and educational data science projects.