Overview
Who this competition fits
Intermediate learners who want a classic tabular regression challenge with real estate data. One of the best learning competitions for feature engineering and gradient boosting techniques.
Read the original official blurb
Can you improve the algorithm that changed the world of real estate?
Preparation
From registration to a first submission
- 01
Python
- 02
pandas and feature engineering
- 03
gradient boosting (XGBoost/LightGBM)
- 04
regression fundamentals
- 05
cross-validation
Before you commit: While the data is tabular and approachable, achieving top performance requires sophisticated feature engineering, understanding of real estate domain, handling of temporal data splits, and careful validation strategy.
Source
How this page was assembled
Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.
- Official competition page
- Kaggle
- Last checked
- May 24, 2017