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student-performance-analysis

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A machine learning project aimed at predicting student performance using various ML algorithms. Features data preprocessing, model training, and evaluation. Ideal for educational data analysis and academic research.

  • Updated Aug 12, 2024
  • Jupyter Notebook

This repository contains a comprehensive analysis of student progress using various factors like extracurricular activities, parental support, gender, ethnicity, and more. The dataset includes 2,392 students and examines how different variables influence academic performance and participation in extracurricular activities.

  • Updated Aug 15, 2024
  • Python

The primary objective of this project is to develop a predictive model that can forecast the performance of students in their academic projects. The model aims to help educators and institutions identify students who may need additional support or intervention early in the project development process, ultimately enhancing overall student success.

  • Updated Dec 10, 2024
  • Jupyter Notebook

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