Comparing Scikit-learn And Catboost: A Quick Guide For Machine Learning In Gis.

This article compares two popular machine learning libraries, CatBoost and Scikit-learn, and their applications in geospatial analysis. CatBoost, developed by Yandex, is designed for regression and classification problems with many independent features, while Scikit-learn is a free and open-source library that offers a variety of classification, regression, and clustering techniques. Both libraries are essential for GIS data scientists to stay ahead in the field of data science.