dsnp---p4's Introduction

Project Title

A Quick Picture of Boston and Seattle Airbnb Data

Project Motivation

Based on Cross-Industry Standard Process of Data Mining (CRISP-DM), the Boston and Seatle Airbnb datasets were collected and investigated. Three bisinuess questions were asked and answered:

Is there any noticeable difference between Seattle and Boston Airbnb?
What are the most important features to estimate Airbnb rental price?
What are the top amenities people needs most?

File Description

A Descriptive Jupyter Notebook
Two datasets: Detailed Listings data for Boston and Seattle which were collected Aug.19th. Dataset Link: http://insideairbnb.com/get-the-data.html

Results of the analysis

Results and discussion were published on Medium: https://medium.com/@rubszion/a-quick-picture-of-boston-and-seattle-airbnb-data-20e5e5c8cc60? In this project, I dived into the most recent Airbnb Boston and Seattle dataset and found many interesting phenomenom:

We gathered the Boston and Seattle Airbnb data, and compare the two dataset.
We established a machine learning model to predict the rental price for both cities.
We took a look at the feature importance of the trained model and check if they make sense.
We list all the important amenities to get a better feeling how host can make more money by providing better services to meet customers’ need.

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