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# Applied Data Science Projektarbeit | ||
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This is our awesome ADS AirBnB Project. | ||
This is our awesome AirBnB price prediction and flat description generator project. | ||
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# Implemented functions | ||
Launch the project with ```docker-compose up```and open Jupyter Lab which runs on https://127.0.0.1:8888 to run the Jupyter Notebooks. | ||
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# Implemented stuff | ||
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- Web scraping from AirBnb | ||
- Web-API call to opendata.swiss to get rental prices of Zurich | ||
- EDA | ||
- Sentiment analysis on comments | ||
- Everything runs via Docker / Docker-Compose | ||
- PostreSQL DB container to save/read data | ||
- GPT-2 Model to generate apartement descriptions | ||
- Regerssion model to predict the prices for AirBnB apartements |
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