This project tries to compare Boston and Seattle airbnb Dataset using CRIS DM method Also the following three buisness aspect questions were also discussed:
- What are the differences that we can find between Seattle and Boston Airbnb data?
- What are the most important features to estimate Airbnb rental price?
- What are the top amenities people that guests require in both cities?
. The code should run with no issues using Python 3. The Packages used in the project includes
- numpy
- pandas
- seaborn
- sklearn
which means no extra installation is required when you use the Anaconda distribution of Python
The Repositary contains following files
- A Jupyter Notebook that contains code
- A Html copy of the jupyter notebook
- Two Dataset that contains airbnb rental listings in Boston and Seattle
The buisness aspect questions and resulyts are elaborately discussed in the my medium blog.
- We found the key differnces between boston and seattle dataset
- We found the important features that determine the rent in Boston and Seattle
- We found the top amenities that guests require which can impact the rent in Boston and Seattle
Click Here to check the results.
Thanks to the airbnb for publishing the data. You can find the Licensing for the data and other descriptive information at the Kaggle link available here