Algorithms of machine learning in Python are simple and efficient tools for predictive data analysis and can be applied to any field of water resources related analysis. We have developed some applied cases of machine learning prediction with the Scikit Learn and Scikit Image of a variety of topics that range from water chemistry, fill missing precipitation, crop identification, geological modeling, and land cover classification …more info
Session 01: Water chemistry cluster analysis.
Session 02: Crop identification.
Session 03: Fill missing precipitation from multiple stations and climate variables.
Session 04: Geological modeling.
Session 05: Delimitation of water bodies with Canny filters.
Session 06: Soil classifications machine learning …more info
