libraries needed by this project are provided by the Anaconda distribution of Python. he code should run with no issues using Python versions 3.*.
In this project, I look into Airbnb Seattle Data to housing price and ratings and try to answer the following research questions: Q1: How can we predict the housing price? Q2: How price and rating relate with each other? Q3: What’s the factor that drives higher prices?
The project consists of two files, one dataset file and one jupyter notebook file: listings.csv contains the Airbnb Seattle dataset Airbnb Seattle article.ipynb contains the analysis, visaulisations, the models and the conclusion.
The result is presented in the following Medium article .
Data Source can be acquired from Kaggle