This project was created to demonstrate my ability to use different approaches in data analisys and data cleaning. Also it's used to get some practice in using Git methods.
I used sber_data dataset.
Simplified dataset with info on 33 000 apartments in Moscow and Moscow Suburban Area. Contains information on square footage, distance to city center, metro stations etc.
To succesfully test this project one will need:
- Python 3
- Pandas
- Numpy
- Matplotlib
- Seaborn