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Dec 4, 2024 - Python
#
oulad
Here are 12 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
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
End-to-end EdTech Learning Analytics system built on PostgreSQL. Analyzing 10.6M+ student interactions from the OULAD dataset through a professional data engineering workflow: Source → RAW → STAGING → Analytics → Power BI. SQL-first architecture with evidence-based data modeling decisions.
data-science machine-learning sql postgresql power-bi edtech data-engineering learning-analytics data-analysis analytics-engineering oulad
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Oct 7, 2026 - Jupyter Notebook
Procedural Fractal Pedagogy (PFP / Werredu v1.0): Zero-Storage Mandelbrot Boundary Reflexes & Lean 4 Formal Verification for AIED
procedural-generation mandelbrot adaptive-learning formal-verification zenodo item-response-theory psychometrics edge-ai werr tinyml aied assistments lean4 oulad intelligent-tutoring-systems zero-storage
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Oct 12, 2026 - HTML
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
AI in Education research bundle using a day-30 OULAD landmark design, causal weighting, overlap diagnostics, refit bootstrap uncertainty, and sensitivity analysis.
python reproducible-research learning-analytics causal-inference observational-study treatment-effects educational-data-mining propensity-score ai-in-education causal-analysis aied oulad inverse-probability-weighting overlap-weighting covariate-balance causal-learning-analytics
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Sep 26, 2026 - Python
From-scratch logistic regression for OULAD student assessment risk classification, with DT/RF baselines
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Sep 27, 2026 - HTML
Student retention analysis on 32,593 OULAD enrolments: SQL-first pipeline (DuckDB), inferential statistics and an executive report EN/IT.
python statistics sql jupyter learning-analytics data-analysis retention product-analytics duckdb oulad
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Sep 4, 2026 - Jupyter Notebook
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