Welcome to the Student Performance Analysis project! This repository explores the fascinating relationship between various factors and student academic performance using multiple linear regression.
Our goal is to uncover insights that can help educators and policymakers improve student outcomes. By analyzing a comprehensive dataset of student performance, we aim to identify key predictors of success.
- Clone the repository:
git clone https://github.com/Zeinwaleed/student-perfromance-multiple-linear-regression-.git
- Data Exploration: Understand the dataset with descriptive statistics and visualizations.
- Preprocessing: Clean and prepare the data for analysis.
- Model Building: Implement multiple linear regression to predict student performance.
- Evaluation: Assess the model's accuracy and performance.
- Visualizations: Gain insights through detailed plots and charts.
- Clone the repository:
git clone https://github.com/Zeinwaleed/student-perfromance-multiple-linear-regression-.git