https://github.com/gokulnpc/house-price-prediction

This web app is a simple house price prediction tool. It uses a Random Forest model to predict the price of a house in Bengaluru, India. The model was trained on a dataset from Kaggle. The web app is built using Streamlit, a popular Python library for building web apps.
https://github.com/gokulnpc/house-price-prediction

machine-learning random-forest-classifier streamlit

Last synced: 12 days ago
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This web app is a simple house price prediction tool. It uses a Random Forest model to predict the price of a house in Bengaluru, India. The model was trained on a dataset from Kaggle. The web app is built using Streamlit, a popular Python library for building web apps.

• Host: GitHub
• URL: https://github.com/gokulnpc/house-price-prediction
• Owner: gokulnpc
• Created: 2024-03-12T18:24:25.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2024-03-14T05:39:54.000Z (11 months ago)
• Last Synced: 2024-12-07T04:12:17.392Z (2 months ago)
• Topics: machine-learning, random-forest-classifier, streamlit
• Language: Jupyter Notebook
• Homepage: https://house-price-prediction-gokulnpc.streamlit.app/
• Size: 3.8 MB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# House-Price-Prediction

This web app is a simple house price prediction tool. It uses a Random Forest model to predict the price of a house in Bengaluru, India. The model was trained on a dataset from Kaggle. The web app is built using Streamlit, a popular Python library for building web apps.

Google colab notebook: https://colab.research.google.com/drive/1brfnxPsjH4GSY3RL1RG_UvZiCCLL-xJ3?usp=sharing

Demo Link: https://house-price-prediction-gokulnpc.streamlit.app/