The Ames housing dataset (1) contains features of houses sold in Ames, IA and their sale prices. The features and prices can be found in data.csv or loaded using the provided reader (Python only).
Detailed information about the data can be found in description.txt.
from reader import get_housing_data
# pandas DataFrame
df = get_housing_data()
# available features
df.columns
# house price - the target
df['SalePrice']This is not an exhaustive list of tasks, the points are provided in order to guide you:
Explore and visualize the relationships between the different house features. Identify any correlations between the variables.
Select the most predictive features to use in the model. Engineer new features to improve model performance.
Build a regression model. Test the performance of different algorithms.
Report results of your model and approach. Compare between models. Use appropriate metrics.
- De Cock D. Ames, Iowa: Alternative to the Boston Housing Data as an End of Semester Regression Project. Journal of Statistics Education [Internet]. 2011 Nov [cited 2017 Dec 7];19(3). Available from: https://www.tandfonline.com/doi/full/10.1080/10691898.2011.11889627