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https://github.com/cego669/apartmentpricesingoiania
The objective of this project is to deploy a web application capable of providing predictions for apartment prices in Goiânia. The model used for prediction was Histogram Gradient Boosting Regressor. All you need to do is to access the web app, fill in the input data form and then click "Predict!"!
https://github.com/cego669/apartmentpricesingoiania
apartments gradient-boosting-regressor machine-learning regression selenium streamlit web-scrapping
Last synced: about 1 month ago
JSON representation
The objective of this project is to deploy a web application capable of providing predictions for apartment prices in Goiânia. The model used for prediction was Histogram Gradient Boosting Regressor. All you need to do is to access the web app, fill in the input data form and then click "Predict!"!
- Host: GitHub
- URL: https://github.com/cego669/apartmentpricesingoiania
- Owner: cego669
- License: other
- Created: 2024-08-23T15:32:21.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2024-09-10T14:49:28.000Z (2 months ago)
- Last Synced: 2024-10-11T18:22:58.127Z (about 1 month ago)
- Topics: apartments, gradient-boosting-regressor, machine-learning, regression, selenium, streamlit, web-scrapping
- Language: Jupyter Notebook
- Homepage: https://apartmentpricesingoiania.streamlit.app/
- Size: 241 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE.txt