SupremeLeader04/student_grade_prediction_example

This project aims to predict a student's final grade based on various factors such as midterm grades, study time, failures, and absences using a dataset from Kaggle. Initially, a Linear Regression model was used for prediction, and later, a Random Forest model was implemented for potentially improved performance.

Jupyter Notebook