https://github.com/fahrettinsolak/ai-based-salary-scale-calculation-project

This project demonstrates a Polynomial Regression model using a dataset related to experience and salary. The model is built using Python with the pandas, matplotlib, and sklearn libraries. The dataset includes information on years of experience and corresponding salary.
https://github.com/fahrettinsolak/ai-based-salary-scale-calculation-project

artificial-intelligence deep-learning jupyter-notebook machine-learning matplotlib pandas pyhton scikit-learn

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This project demonstrates a Polynomial Regression model using a dataset related to experience and salary. The model is built using Python with the pandas, matplotlib, and sklearn libraries. The dataset includes information on years of experience and corresponding salary.

• Host: GitHub
• URL: https://github.com/fahrettinsolak/ai-based-salary-scale-calculation-project
• Owner: Fahrettinsolak
• Created: 2024-10-15T21:48:46.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-10-15T21:49:56.000Z (2 months ago)
• Last Synced: 2024-10-31T11:06:33.826Z (about 2 months ago)
• Topics: artificial-intelligence, deep-learning, jupyter-notebook, machine-learning, matplotlib, pandas, pyhton, scikit-learn
• Language: Jupyter Notebook
• Homepage:
• Size: 58.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# AI-Based-Salary-Scale-Calculation-Project

## Polynomial Regression Model

This project demonstrates a Polynomial Regression model using a dataset related to experience and salary. The model is built using Python with the `pandas`, `matplotlib`, and `sklearn` libraries. The dataset includes information on years of experience and corresponding salary.

## Project Structure

- `polynomial.csv`: The dataset used for training the model.

- `polynomial_regression.py`: Python script implementing the model.

- `README.md`: Explanation of the project and instructions for use.

## Dataset

The dataset (`polynomial.csv`) contains the following columns:

- `Experience`: Years of work experience

- `Salary`: Salary corresponding to the experience (in local currency)

Example data:

| Experience | Salary  |

|------------|---------|

| 1          | 4500    |

| 2          | 5000    |

| 3          | 6000    |

| 4          | 8000    |

| 5          | 11000   |

## Dependencies

To run this project, you will need the following Python libraries:

- `pandas`

- `matplotlib`

- `scikit-learn`

You can install these packages using pip:

```bash

pip install pandas matplotlib scikit-learn