House Prices


The House Prices dataset is a classical public dataset, which contains 1460 records with 79 explanatory variables describing (almost) every aspect of residential homes in Ames (Iowa, USA) in accordance with the final price of each home.
This dataset is often used for practicing exploratory data analysis, feature engineering, and applying advanced regression techniques to predict the sale price of the house based on various factors.

Data Location

Storage → Samples → sample_generic_regression.csv

Examples of usage