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
Can you tell great data stories about climate impacts on forest cover change in Africa? Official task labels include Data visualisation, Data storytelling, Data analysis, Python. Official impact tags mention Africa.
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
- Zindi
- Last checked
- Not recorded