Overview
Who this competition fits
Advanced practitioners with experience in tabular data and feature engineering. Requires strong technical foundations and comfort with complex ML pipelines.
Read the original official blurb
Can you create a satellite-based detection solution for human settlements? Official task labels include Classification, Classification. Official impact tags mention Mexico.
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. The competitive landscape is strong, with many experienced teams.
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
- Zindi
- Last checked
- Not recorded