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Dec 4, 2024 - Python
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oulad
Here are 9 public repositories matching this topic...
PyTorch and TensorFlow implementations of LSTM, Transformers, and autoencoders for modeling sequential student behavior.
python machine-learning deep-learning tensorflow transformers pytorch learning-analytics lstm autoencoders bert sequential-data educational-data-mining time-series-classification student-performance oulad dropout-prediction
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Aug 30, 2026 - Python
Reproducible gap-aware state-space research for early student-risk prediction on OULAD
reproducible-research pytorch learning-analytics mamba educational-data-mining state-space-models oulad student-risk-prediction
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Aug 28, 2026 - Python
Product analytics case study on student retention in online education: SQL-first pipeline (DuckDB, ANSI SQL), inferential statistics and an executive report on the OULAD dataset (32,593 enrollments across 7 courses).
python statistics sql jupyter learning-analytics data-analysis retention product-analytics duckdb oulad
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Sep 4, 2026 - Jupyter Notebook
Explainable Machine Learning project for early prediction of at-risk programming students using XGBoost, SMOTE, and SHAP.
python education data-science machine-learning scikit-learn jupyter-notebook xgboost classification explainable-ai student-performance oulad
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Jul 30, 2026 - Jupyter Notebook
基于 OULAD 日级时序建模、双路 RAG 与教师审核的学习风险研究实验台
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Jul 31, 2026 - Python
Pipeline Big Data cu Apache Spark + Federated Learning (Flower/FedAvg) pentru predicția promovabilității studenților.
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Jun 2, 2026 - Python
Normalized OULAD dataset in MySQL with secure Python ETL, constraints, roles, and analytics
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Oct 6, 2025 - Python
Comparative study of deep learning vs gradient boosting for student dropout prediction on the OULAD dataset, with SHAP interpretability and a three-tier early warning system.
education machine-learning deep-learning xgboost educational-data-mining early-warning-systems shap oulad dropout-prediction
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May 30, 2026 - Python
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