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https://github.com/salihfurkaan/salary-predictor
Predicts salaries based on years of experience, test scores, and interview scores using an AI model
https://github.com/salihfurkaan/salary-predictor
ai experience-based-salary interview-score machine-learning salary-prediction test-score
Last synced: about 21 hours ago
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Predicts salaries based on years of experience, test scores, and interview scores using an AI model
- Host: GitHub
- URL: https://github.com/salihfurkaan/salary-predictor
- Owner: salihfurkaan
- License: mit
- Created: 2024-06-20T21:10:23.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2024-06-20T21:36:31.000Z (5 months ago)
- Last Synced: 2024-06-21T15:59:56.636Z (5 months ago)
- Topics: ai, experience-based-salary, interview-score, machine-learning, salary-prediction, test-score
- Language: Jupyter Notebook
- Homepage:
- Size: 118 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# SalaryPredictor
Predicts salaries based on years of experience, test scores, and interview scores using an AI model.
## Table of Contents
- [Introduction](#introduction)
- [Features](#features)
- [Installation](#installation)
- [Usage](#usage)
- [Contributing](#contributing)
- [License](#license)
- [Contact](#contact)
## Introduction
This project includes an AI model that estimates the salaries of individuals based on their years of experience, test scores, and interview scores. The model is built using a linear regression algorithm.
## Features
- Predicts salary for different experience levels and scores
- Handles missing values in the dataset
- Provides visualizations for data exploration and correlation
- Easy to use with simple input parameters
- Includes examples and usage instructions
## Installation
To run this project, you need to have Python and the following libraries installed:
- pandas
- seaborn
- scikit-learn
- word2number
- numpy
- matplotlib
You can install the required libraries using the following commands:
```bash
pip install pandas seaborn scikit-learn matplotlib word2number
```
## Usage
1. Clone the repository
```bash
git clone https://github.com/salihfurkaan/SalaryPredictor.git
cd SalaryPredictor
```
2. Prepare your dataset in the same format as `hiring.csv`:
Columns should include experience, test_score(out of 10), interview_score(out of 10), and salary($)
4. Run the notebook.
5. Interpret the results printed by the model for the given input values.
## Contributing
Contributions are welcome! Please open an issue or submit a pull request for any changes.
## License
This project is licensed under the MIT License.
## Contact
For any questions or inquiries, please contact [email protected]