This Project tries to predict the prices for houses for sale on the german real estate market.
For that, i scraped data from roughly 30000 house-for-sale offers from the real estate website immowelt.de.
- contains the prediction process
and
Data for houses_1 + First Initialization of Scraping Process.ipynb
- contains the Web- Scraping Process for the first Dataset and its initialization
- in the supporting ipynbs folder is the rest of the Scraping part
Within the Folder CSV Files you'll find the CSVs with Data from Houses in:
- Mecklenburg- Vorpommern,
- Brandenburg
- Sachsen
- Sachsen- Anhalt
- Thüringen
- Bayern
- Baden- Württemberg
- Berlin
- Hamburg
- Bremen
- Location of the House (the City/Town/Village)
- Size of the House (in sqm)
- Size of the Plot that comes with the House (in sqm)
- Number of rooms
- who the seller is
- a short description about the property (unfortunatly for some, its in german :D )
- Price