https://github.com/fahrettinsolak/ai-real-estate-price-forecast-project

This project demonstrates a Multiple Linear Regression model using a dataset related to real estate prices. The model is built using Python with the pandas and sklearn libraries. The dataset includes information on the area of the property, the number of rooms, the age of the building, and the price of the property.
https://github.com/fahrettinsolak/ai-real-estate-price-forecast-project

deep-learning jupyter-notebook machine-learning matplotlib pandas phyton sklearn

Last synced: 7 days ago
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This project demonstrates a Multiple Linear Regression model using a dataset related to real estate prices. The model is built using Python with the pandas and sklearn libraries. The dataset includes information on the area of the property, the number of rooms, the age of the building, and the price of the property.

• Host: GitHub
• URL: https://github.com/fahrettinsolak/ai-real-estate-price-forecast-project
• Owner: Fahrettinsolak
• Created: 2024-10-15T21:46:24.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-10-15T21:51:11.000Z (2 months ago)
• Last Synced: 2024-12-19T02:23:53.191Z (7 days ago)
• Topics: deep-learning, jupyter-notebook, machine-learning, matplotlib, pandas, phyton, sklearn
• Language: Jupyter Notebook
• Homepage:
• Size: 3.91 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# AI-Real-Estate-Price-Forecast-Project

 

This project demonstrates a Multiple Linear Regression model using a dataset related to real estate prices. The model is built using Python with the `pandas` and `sklearn` libraries. The dataset includes information on the area of the property, the number of rooms, the age of the building, and the price of the property.

## Project Structure

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

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

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

## Dataset

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

- `alan`: Area of the property (in square meters)

- `odasayisi`: Number of rooms

- `binayasi`: Age of the building (in years)

- `fiyat`: Price of the property (in local currency)

Example data:

| alan | odasayisi | binayasi | fiyat  |

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

| 180  | 5         | 10       | 510000 |

| 225  | 4         | 18       | 508000 |

| 260  | 3         | 2        | 548000 |

## Dependencies

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

- `pandas`

- `matplotlib`

- `sklearn`

You can install these packages using pip:

```bash

pip install pandas matplotlib scikit-learn