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Ames-Iowa-Housing-Dataset

The Ames Housing dataset describes individual residential property sales in Ames, Iowa from 2006 to 2010, compiled by Dean De Cock for data‑science education. It is based on the Boston Housing dataset and is now considered a more modern and expanded version.

Updated 4/28/2024
github

Description

Ames Iowa Housing Data Set Overview

Dataset Domain

The Ames Housing dataset describes individual residential property sales in Ames, Iowa from 2006 to 2010. Compiled by Dean De Cock for data‑science education, it is a modernized and expanded version of the Boston Housing dataset.

Problem Statement

The goal is to predict the final sale price of each house based on 79 explanatory variables.

Data Description

The original dataset can be found here: AmesHousing.txt.

Solution Statement

The dataset can be tackled using regression techniques such as linear regression, random forest, or gradient boosting.

Baseline Model

A simple baseline is to use the mean value.

Performance Metric

Performance is evaluated using the root‑mean‑square error (RMSE) between the logarithm of the predicted and observed sale prices.

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Topics

Real Estate Data Analysis
Data Science Education

Source

Organization: github

Created: 3/5/2018

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