Ames 7z < 2026 Edition >

The set includes nearly 3,000 individual observations. Why is it in a .7z File?

Applying algorithms like Linear Regression, Random Forest, or XGBoost to predict house prices. AMES 7z

This dataset was originally compiled by Dean De Cock for use in statistics education and is frequently hosted on platforms like Kaggle as an alternative to the older Boston Housing dataset. It provides a detailed look at residential property sales in , between 2006 and 2010. The set includes nearly 3,000 individual observations

The .7z extension indicates a high-compression archive created by . Users often package the dataset this way because: This dataset was originally compiled by Dean De

It contains 79 explanatory variables describing almost every aspect of residential homes.

It is primarily used to train machine learning models to predict the final price of each home.

Creating new variables, such as "Total Square Footage" by combining basement and floor areas.