Spaces:
Sleeping
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# 🏠 Rent Price Predictor
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This is a **Streamlit app** that predicts monthly rent for apartments based on their **description text** and **tabular features** (size, floor, amenities, etc.). The app uses:
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- **SentenceTransformer embeddings** for text understanding
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- **Tabular preprocessing** (numeric scaling + categorical one-hot encoding)
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- **Random Forest regression** for price prediction
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---
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git clone <your-repo-url>
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cd rent_price_predictor
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title: Rent Price Predictor
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emoji: 🏠
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colorFrom: blue
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colorTo: green
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sdk: streamlit
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sdk_version: "1.49.1"
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app_file: app.py
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pinned: true
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---
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This is a **Streamlit app** that predicts the monthly rent for apartments based on:
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- **Text description** of the apartment
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- **Tabular features**: size, floor, amenities (pets, balcony, dishwasher, etc.)
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The app uses **SentenceTransformer embeddings** for text and a **Random Forest regression model** for prediction.
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Check out the configuration reference at [Hugging Face Spaces config](https://huggingface.co/docs/hub/spaces-config-reference)
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