GitHub / 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
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Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 3.54 MB
Dependencies parsed at: Pending
Created at: 5 months ago
Updated at: 2 months ago
Pushed at: 2 months ago
Last synced at: 2 months ago
Topics: classifiers, decision-trees, flask, knn, logistic-regression, machine-learning, naive-bayes-classifier, python, random-forest, student-dropout-prediction-system, svm