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https://github.com/muhammadmooazam/house-price-prediction-project
https://github.com/muhammadmooazam/house-price-prediction-project
Last synced: 6 days ago
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- Host: GitHub
- URL: https://github.com/muhammadmooazam/house-price-prediction-project
- Owner: MuhammadMooazam
- License: mit
- Created: 2023-08-27T07:36:31.000Z (about 1 year ago)
- Default Branch: master
- Last Pushed: 2023-08-27T07:38:17.000Z (about 1 year ago)
- Last Synced: 2023-08-27T08:42:02.222Z (about 1 year ago)
- Size: 1000 Bytes
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# House Price Prediction Project
![Project House Price Prediction](https://i0.wp.com/thecleverprogrammer.com/wp-content/uploads/2020/12/Machine-Learning-Project-on-House-Price-Prediction.png?fit=1280%2C720&ssl=1)
Welcome to the House Price Prediction Project! This project utilizes Data Science and Machine Learning techniques to predict house prices based on various features.
---
## About the Project
Are you curious about what drives house prices in your area? Wondering how different factors like location, square footage, or the number of bedrooms affect property values? Our House Price Prediction Project is here to provide answers.
Through the magic of Machine Learning, we've developed models that can predict house prices with incredible precision. Our project allows you to explore, experiment, and gain insights into the intriguing world of real estate economics.
---
## Features
### ๐งน Data Preprocessing
We've transformed and prepared the dataset, so you don't have to worry about messy data.### ๐ Data Visualization
Explore our interactive visualizations to gain insights into how different features impact house prices.### ๐ค Machine Learning Models
Our project employs state-of-the-art machine learning algorithms, including the Linear Regression Model, Decision Tree Regressor, and Random Forest Regressor, to predict house prices.### ๐ Evaluation Metrics
We measure model performance using a variety of metrics such as Root Mean Squared Error (RMSE), Standard Deviation, etc.---
## Installation
Provide instructions on how to set up and run your project locally. Include any dependencies or prerequisites users need to install. Use code blocks for clarity.
```bash
# Clone the repository
git clone https://github.com/MuhammadMooazam/House-Price-Prediction-Project.git
```With the project now set up, you're just a few commands away from uncovering the secrets of real estate data.
---
## Contributing
We invite you to be a part of our exciting project! To get started:-
1) ๐ด Fork the project.
2) ๐ Create a new branch for your feature: git checkout -b feature-name
3) ๐ก Commit your changes: git commit -m 'Add some feature'
4) ๐ Push to your fork: git push origin feature-name
5) ๐ Create a pull request.---
## License
This project is licensed under the [MIT License](LICENSE). See the LICENSE file for details.
---
Got questions or suggestions? We'd love to hear from you! Connect with us, explore the data, and start predicting house prices today.
Ready to predict the future of real estate? Let's get started!
๐ก Happy predicting! ๐
[![LinkedIn](https://img.shields.io/badge/LinkedIn-Connect-blue)](https://www.linkedin.com/in/mooazam/)
[![Twitter](https://img.shields.io/badge/Twitter-Follow-blue)](https://twitter.com/SMMooazam)