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
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Updated
Jan 14, 2026 - Jupyter Notebook