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stackoverflow's Introduction

Table of Contents

  1. Installation
  2. Project Motivation
  3. File Descriptions
  4. Results
  5. Licensing, Authors, and Acknowledgements

Installation

There should be no necessary libraries to run the code here beyond the Anaconda distribution of Python. The code should run with no issues using Python versions 3.*.

Project Motivation

For this project, I was interestested in using AirBNB data from Boston to better understand:

  1. What neighborhoods are the highest grossing units in?
  2. What type of property is the most popular to rent?
  3. Does having more reviews imply less vacancy?
  4. Can we predict appropriate rental prices in the Boston market?

File Descriptions

Data exploration, cleansing, and model building is done in the .py file

Results

The main findings of the code can be found at the post available here.

Licensing, Authors, Acknowledgements

Data belongs to AirBNB and is publicly available here

stackoverflow's People

Contributors

good-kiwi avatar jjrunner avatar

Watchers

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