Open Data Science Europe Workshop 2021

Software requirements: opengeohub/py-geo docker image (gdal, rasterio, eumap, scikit-learn)
Content:
Theoretical background for machine learning and python implementations
Integrating raster data with scikit-learn models
Why use pyeumap.LandMapper?
Spatial overlay to prepare the training samples
Spatial cross-validation to evaluate the ML model performance
Hyperparameter optimization to tune the ML model
Fitting the final ML model
Generating spatial predictions using the fitted model