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GitHub topics: student-dropout-prediction-system

HanugaFathurC/JayaJayaInstitut-StudentDropout

Predict and monitor student dropout risk using Machine Learning and Business Intelligence. Includes a Streamlit app for real-time prediction and a Metabase dashboard for academic insights.

Language: Jupyter Notebook - Size: 7.97 MB - Last synced at: 3 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

AmaedaQ/Student-Dropout-Prediction-System

Student Dropout Prediction System built using machine learning classifiers (KNN, Logistic Regression, Decision Trees, Random Forest, SVM, Naive Bayes). Built with Python and Flask, this system predicts dropout risks based on student data to improve retention rates

Language: Jupyter Notebook - Size: 3.54 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0