https://github.com/felix-red/house-predication-webapp
house price prediction system using machine learning
https://github.com/felix-red/house-predication-webapp
data-science machine-learning plotly-dash python
Last synced: about 2 months ago
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house price prediction system using machine learning
- Host: GitHub
- URL: https://github.com/felix-red/house-predication-webapp
- Owner: Felix-Red
- Created: 2024-05-12T10:55:25.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-05-18T13:06:49.000Z (about 2 years ago)
- Last Synced: 2025-02-21T01:43:13.550Z (over 1 year ago)
- Topics: data-science, machine-learning, plotly-dash, python
- Language: Jupyter Notebook
- Homepage: https://project2group-k.onrender.com
- Size: 22 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# House Price Prediction with Machine Learning
This project utilizes the King County Housing Kaggle dataset to construct a house price prediction system. The system aids homeowners, buyers, and real estate agents in determining the estimated price of a house in King County.
## Model
The price prediction model was developed using Random Forest, a popular machine learning algorithm devised by Leo Breiman and Adele Cutler. Random Forest combines the outputs of multiple decision trees to produce a single result. Its simplicity and versatility have led to widespread adoption, making it suitable for both classification and regression tasks.
## Web Dashboard
Additionally, the model is integrated into a user-friendly web dashboard. This dashboard facilitates the prediction of house prices, providing an intuitive interface for users.
[house price prediction app](https://project2group-k.onrender.com/)
