AbhishekMali21/STUDENT-GRADE-ANALYSIS-PREDICTION
Given a dataset containing attribute of 396 Portuguese students where using the features available from dataset and define classification algorithms to identify whether the student performs good in final grade exam, also to evaluate different machine learning models on the dataset.
Implements exploratory data analysis and feature engineering on 30+ sociodemographic and behavioral attributes (family education, study habits, alcohol consumption, absences) beyond basic grades, then compares multiple classification models using scikit-learn. The pipeline addresses the practical challenge of predicting final grades (G3) while handling multicollinearity with prior period grades (G1, G2), enabling early intervention systems to identify at-risk students before semester completion.
No commits in the last 6 months.
Stars
85
Forks
34
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 30, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/AbhishekMali21/STUDENT-GRADE-ANALYSIS-PREDICTION"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
FaizanZaheerGit/StudentPerformancePrediction-ML
This is a simple machine learning project using classifiers for predicting factors which affect...
Sagargupta16/LeetCode_Rating_Predictor
Full-stack LeetCode contest rating predictor. Dense neural network (15 features, 244K records,...
RobertoFalconi/GameRatingsPredictor
Machine learning algorithm solves multi-class classification problem of video games content...
skprasad117/Predicting-Student-Performance-Using-Machine-Learning
Using machine learning algorithms, this project aims to predict student performance in...
ascender1729/CollegeAdmissionLogisticRegression
Predictive analysis using logistic regression to determine college admissions based on CET...