Students Performance in Exams: Predicting Total and Average Scores

About Dataset

The dataset captures the marks secured by students in various subjects, providing an opportunity to explore factors influencing student performance.

Source: Generated Data - Exams

Columns:

• Gender
• Race/Ethnicity
• Parental Level of Education
• Lunch
• Test Preparation Course
• Math Score
• Reading Score
• Writing Score

Objectives

The primary goals of this analysis are to:

1. Explore Factors Influencing Performance:

   • Understand the influence of variables such as parental background, test preparation, and other factors on students' scores.

2. Predict Total and Average Scores:

   • Build predictive models to estimate total and average scores based on available features.

Dependencies

• Python 3
• Pandas
• NumPy
• Matplotlib

Getting Started

1. Clone the repository.
2. Install the required dependencies using conda install --file requirements.txt.
3. Run the main script: Linear Regression.ipynb.