https://github.com/pundit4real/linear-regression-model

This repository contains code for two linear regression models: one predicts profit based on factors like R&D spend, administrative spend, marketing spend, and state; the other predicts exam scores based on study hours.
https://github.com/pundit4real/linear-regression-model

Last synced: 8 days ago
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This repository contains code for two linear regression models: one predicts profit based on factors like R&D spend, administrative spend, marketing spend, and state; the other predicts exam scores based on study hours.

• Host: GitHub
• URL: https://github.com/pundit4real/linear-regression-model
• Owner: Pundit4Real
• Created: 2024-04-14T11:16:00.000Z (10 months ago)
• Default Branch: master
• Last Pushed: 2024-05-05T19:41:06.000Z (9 months ago)
• Last Synced: 2024-11-24T20:34:14.414Z (2 months ago)
• Language: Python
• Homepage:
• Size: 9.77 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: Readme.md

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README

        
# Linear Regression Models

This repository contains code for two linear regression models:

1. **Multiple Linear Regression Model for Profit Prediction**

2. **Linear Regression Model for Exam Score Prediction**

## Prerequisites

- Python 3

- Jupyter Notebook or any Python IDE

- Create a virtual environment ( recommended )

## Installation

1. Create a virtual environment

        python -m venv venv 

    

2. Clone or download this repository to your local machine.

            https://github.com/Pundit4Real/Linear-Regression-model.git

3. Activate the virtual environment:

- On Windows:

            venv\Scripts\activate

- On macOS and Linux:

            source venv/bin/activate

4. Install the required Python libraries using pip by running the command below:

            pip install -r requirements.txt

5. Ensure you have the datasets '50_Startups.csv' and 'students_scores.csv' in the same directory as the code.

## Running the Models

1. Open a terminal or command prompt.

2. Navigate to the directory containing the code files.

3. To run the Multiple Linear Regression Model for Profit Prediction:

- Run the script `multiple_linear_regression_profit.py` using Python:

                  python multiple_linear_regression_profit.py

  

4. To run the Linear Regression Model for Exam Score Prediction:

- Run the script `linear_regression_exam_scores.py` using Python:

  

          python linear_regression_exam_scores.py

  

5. Both scripts will train the respective models, make predictions, display evaluation metrics, and visualize the results.

## Customization

- You can modify the code to use your own datasets by replacing the provided dataset files.

- Experiment with different parameters and preprocessing techniques to improve model performance.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.