King County House Price Predictor

Author: Tjade Appel

This project is still in progress.

Overview

King County is a county in the US state of Washington. At the 2010 census, the county had 1,931,249 inhabitants and a population density of 350.7 inhabitants per square kilometer. The county administration is located in Seattle.

As real estate prices in densely populated areas are skyrocketing, predicting the correct price for a house or apartment based on its features like living area, number of bedrooms etc. is of major importance.

Business Case:

In this project the goal is to implement and evaluate a multivariate linear regression model that allows the user to predict the real estate price of a chosen object based on its features.

Outcome / Findings:

The outcome of the project is a multivariate linear regression model with an R2-Score of 84%.

Contents of Repository

• King_County_Code.ipynb (main Jupyter Notebook)
• Presentation.pdf (presentation of findings)
• data (directory with the raw data)

Python Modules Used:

• Pandas
• NumPy
• Matplotlib
• Seaborn
• Datetime
• Scikit Learn

Future work

• implementing additional features (crime rate in zipcode and others)