Skip to content
#

ames-housing-dataset

Here is 1 public repository matching this topic...

Jupyter Notebook applying statistical theory to housing price prediction, using techniques like the Kolmogorov–Smirnov test, Box-Cox transformation, Pearson/Spearman correlations, chi-square tests, and feature importance, with analysis of prediction accuracy across price ranges.

  • Updated Mar 31, 2025
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the ames-housing-dataset topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the ames-housing-dataset topic, visit your repo's landing page and select "manage topics."

Learn more