imattri28 / Student_performance_analysis_prediction Star 0 Code Issues Pull requests Achieved 100% accuracy (R²=1.0000) predicting student CGPA using Linear Regression on 1,193 student records. Discovered academic progress perfectly determines performance. Complete ML pipeline: EDA → Perfect Model. python linear-regression scikit-learn jupyter-notebook cgpa feature-engineering educational-project datacleaning datascience-machinelearning studentperformance 100accuracy Updated Jan 14, 2026 Jupyter Notebook
ek724 / Student_performance_analysis_prediction Star 0 Code Issues Pull requests 🎓 Predict student CGPA with 100% accuracy using linear regression on 1,193 records, revealing insights into academic performance and progress. python linear-regression scikit-learn jupyter-notebook cgpa feature-engineering educational-project datacleaning datascience-machinelearning studentperformance 100accuracy Updated Jan 27, 2026 Jupyter Notebook