Introduction

For this project, we simulated working as data scientists for a homesharing company such as Airbnb. Charged with creating a new feature to their Experiences portfolio, we used the Ames, Iowa dataset from Kaggle to obtain information about the homes surrounding the Iowa State University campus.

The project goals were to:

1. Identify features that most affect housing value
2. Predict housing values to tie it into the daily rate calculation
3. Describe houses that meet the quality expectations of the Airbnb brand
4. Use these predictions on identified houses to project potential revenue

Team:

• Douglas Pizac
• Gabi Hueglas