https://github.com/sueszli/will-wohnen

knowledge graph driven real estate investment analysis
https://github.com/sueszli/will-wohnen

investment-analysis knowledge-graphs neo4j-graph-data-science willhaben

Last synced: about 2 months ago
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knowledge graph driven real estate investment analysis

• Host: GitHub
• URL: https://github.com/sueszli/will-wohnen
• Owner: sueszli
• License: agpl-3.0
• Created: 2024-04-04T12:51:11.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-09-15T14:32:05.000Z (about 1 year ago)
• Last Synced: 2024-10-04T19:43:41.222Z (about 1 year ago)
• Topics: investment-analysis, knowledge-graphs, neo4j-graph-data-science, willhaben
• Language: Jupyter Notebook
• Homepage:
• Size: 115 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README
  • License: LICENSE

Awesome Lists containing this project

README

          
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gain a competitive edge in real estate investing through data-driven insights.

report: https://sueszli.github.io/will-wohnen/docs/report.pdf

features:

- full fledged parallelized willhaben scraper

- neo4j knowledge graph

- neo4j data science library for embeddings and graph ml

usage:

```

tar -xzf data.tar.gz -C .

docker-compose up -d

docker exec -it main bash

```