GitHub - nurrfrr/Student-Scores-Prediction-Using-RandomForest: Machine learning project to predict student exam scores based on study hours using the Random Forest Regressor. This project includes data preprocessing, model training, evaluation, and visualization.

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Machine learning project to predict student exam scores based on study hours using the Random Forest Regressor. This project includes data preprocessing, model training, evaluation, and visualization.

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
.vscode		.vscode
__pycache__		__pycache__
venv		venv
app.py		app.py
model_rf.pkl		model_rf.pkl
predict.py		predict.py
preprocessing.py		preprocessing.py
requirements.txt.txt		requirements.txt.txt
student-scores.csv		student-scores.csv
test.ipynb		test.ipynb
train_model.py		train_model.py
why choose random forest.txt		why choose random forest.txt