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Jupyter NotebookML Competition20
Student Evaluation — BTK Datathon
Student-performance evaluation that placed 100th in the BTK Academy Datathon, built with ML/DL models and comprehensive exploratory data analysis.
machine-learningdeep-learningedaclassification
Key Highlights
Top 100 finish in BTK Academy national Datathon
Multi-model comparison: XGBoost, Random Forest, Neural Networks
Comprehensive EDA with statistical feature analysis
Feature engineering and dimensionality reduction
Cross-validation with stratified k-folds
Tech Stack
Pythonscikit-learnXGBoostTensorFlowPandasSeaborn
GitHub Repository
github.com/ErdoganPeker/Student-Evaluation-System-BTK-Academy-Competition