Overview
Who this competition fits
Intermediate learners who want to deepen their skills in tabular data and feature engineering. Good for building practical experience with real-world data.
Read the original official blurb
Create a model measured against feature stability over time
Preparation
From registration to a first submission
- 01
Python
- 02
pandas and data manipulation
- 03
gradient boosting (XGBoost/LightGBM)
- 04
cross-validation
Before you commit: Requires solid feature engineering and model selection skills.
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
- Feb 5, 2024