Math Score Prediction Project

Overview

This project aims to predict math scores based on various factors including Gender, Ethnicity, Parent’s Background, Lunch, and Test Preparation Course. By utilizing machine learning techniques, we seek to create a predictive model that offers valuable insights into academic performance.

Features

• Utilizes advanced machine learning algorithms for predictive analysis.
• Factors in key variables such as Gender, Ethnicity, Parent’s Background, Lunch, and Test Preparation Course.
• Offers accurate predictions for math scores.
• Aims to revolutionize academic insights and student support systems.

Installation

To run this project locally, follow these steps:

1. Clone the repository:

git clone https://github.com/SankritaPatel/StudentPerformanceIndicator

2. Navigate to the project directory:

cd StudentPerformanceIndicator

3. Install the required dependencies:

pip install -r requirements.txt

Usage

1. Prepare your dataset including features like Gender, Ethnicity, Parent’s Background, Lunch, Test Preparation Course, and Math Scores.
2. Train the predictive model using the provided dataset.
3. Utilize the trained model to predict math scores based on new data.
4. Analyze the predictions and refine the model as necessary.

License

This project is licensed under the MIT License.