✅ Module 3: Supervised Learning for GIS (6h)

• 📊 Algorithms: SVM, Random Forest, k-NN

• 📉 Regression for spatial prediction

• 🛰️ Case Study: LULC classification via satellite imagery

• 🧪 Accuracy assessment, confusion matrix