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students-marks

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This project understands how the student's performance (test scores) is affected by other variables such as Gender, Ethnicity, Parental level of education, Lunch and Test preparation course

  • Updated Jun 16, 2020
  • Jupyter Notebook

🐙 Descriptive and inferential statistics to explore how gender, parental education, lunch type, and test prep affect Math, Reading, and Writing scores among students.

  • Updated Feb 21, 2026
  • Jupyter Notebook

Analyze and predict student academic performance using data science techniques to identify key factors and create actionable insights for educational improvement.

  • Updated Mar 12, 2026
  • Python

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