Airbnb-Analysis-San-Francisco

Motivation

The project applies the CRISP-DM process on Airbnb San Francisco datasets to gain insight into Airbnb hosting business during COVID-19. A post for this project is on Medium.

Files Descriptions

• AirBNB_Analysis_San_Francisco.ipynb includes data preparation, analysis, visualization, and machine learning models.
• datasets folder includes
  • listings.csv
  • calendar.csv in zip
• planning_neighborhoods folder includes geodata about San Francisco neighbourhoods

Libraries use

• pandas
• numpy
• matplotlib
• seaborn
• sklearn
• geopandas

Licensind

Apache License 2.0

See the LICENSE file for details