Ames Housing: House Sales Price Data for Predictive Modeling

A dataset compiled by Dean De Cock for use in data science education. It is designed for predicting the sales prices of houses. The specific number of records and features is not provided in the available metadata.

Use Cases

• Predict house sale prices based on property characteristics mentioned in the description
• Train and evaluate regression models using a well-known educational dataset
• Perform feature engineering and selection on real estate data
• Compare model performance on a standard benchmark for housing price prediction

Strengths

• Explicitly compiled for data science education, indicating a pedagogical focus
• License is listed as us-pd (U.S. public domain), suggesting permissive reuse

Limitations

• Row count and column details are unknown, which limits suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Last update date is unknown; freshness unverified

Provenance

Source

Dean De Cock

Collection Method

Compiled for data science education

Geography

Ames, Iowa, USA (inferred from dataset name and common knowledge)