Student Performance Predictor
Introduction About the Data
Welcome to the analysis of the Students Performance in Exams dataset! This dataset provides insights into various factors that might influence students' academic achievements. 📈
Dataset: Students Performance in Exams
Description 📝
- Gender: Gender of the student (male/female)
- Ethnicity: Ethnicity of the student
- Parental Level of Education: Highest education level of the student's parents
- Lunch: Type of lunch the student has (standard or free/reduced)
- Test Preparation Course: Whether the student completed a test preparation course (completed or none)
- Math Score: Score obtained in the math exam
- Reading Score: Score obtained in the reading exam
- Writing Score: Score obtained in the writing exam
Size: Approximately 1000 students and 8 distinct features.
Target Variable: Math Score - Score obtained in the math exam.
Potential Insights 🌟
- Gender Performance: Compare performance between male and female students.
- Ethnicity Impact: Assess how ethnicity affects academic results.
- Parental Education: Explore the influence of parents' education levels on student scores.
- Lunch Type: Determine if lunch standard impacts student performance.
- Test Preparation: Evaluate the effect of test prep courses on exam scores.