Since 2008, guests and hosts have used Airbnb to expand on traveling possibilities and present more unique, personalized way of experiencing the world. The dataset describes the listing activity and metrics in NYC, NY for 2019.
This tutorial is in an IPython Notebook for Kaggle Dataset, https://www.kaggle.com/dgomonov/new-york-city-airbnb-open-data.
You can find the scripts for choosing the best predictive model for price prediction over AirBnb New York City 2019 dataset.
Airbnb is an online marketplace for arranging or offering lodging, primarily homestays, or tourism experiences since 2008. NYC is the most populous city in the United States and also one of the most popular tourism and business place in the world.
Airbnb NYC 2019 data contains listing activity and metrics. In this repository, I would like to choose the best prediction model for price. Meanwhile, price feature's relationship examines with others and some data exploratory analysis will be made.
There are 3 topics in the notebook.
- Data Exploratory Analysis
- Model Building
- Model Comparison