Zindi competition - predicting floods in Malawi
# 2020_zindi_malawi_flood
Zindi competition - predicting floods in southern Malawi
Link to competition:
zindi.africa
Summary:
Jupyter notebook.
Code in Python using rainfall data to predict the level of flooding for
Southern Malawi experienced major flooding in 2015 (13 January) and 2019 (14 March).
This area has been divided into XXXX 1 kilometer squares, each with a unique identifier.
For each square thre is the following data:
* Rainfall data for the 18 weeks, beginning 2 months prior to the 2015 flood.
* Mean elevation
* Dominant Land Cover
The target variable is the proportion of flooding (0 to 1) for each square.
The predictive model will be assessed using the data from the 2019 data and the
evaluation metric will be Root Mean Squared Error.
Giovanni Rosati
giovanni.rosati@gmail.com
linkedin.com