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Course Content
πŸŽ“ Course 1: Machine Learning for GIS Applications
About Lesson

βœ… Module 3: Supervised Learning for GIS (6h)

  • πŸ“Š Algorithms: SVM, Random Forest, k-NN

  • πŸ“‰ Regression for spatial prediction

  • πŸ›°οΈ Case Study: LULC classification via satellite imagery

  • πŸ§ͺ Accuracy assessment, confusion matrix


  • Β 

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