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Course Content
🎓 Course 1: Machine Learning for GIS Applications
0/7
📍 Module 1: Introduction to GIS and Machine Learning
🧹 Module 2: Spatial Data Preparation
✅ Module 3: Supervised Learning for GIS
🧭 Module 4: Unsupervised Learning & Clustering
🧠 Module 5: Deep Learning for Geospatial Analysis
🛠️ Module 6: GIS Tools and Libraries in Python
🚀 Module 7: Project & Deployment
🎓 Course 1: Machine Learning for GIS Applications
About Lesson

🚀 Module 7: Project & Deployment (3h)

  • 🧱 Build an end-to-end ML GIS pipeline

  • 🌐 Web deployment using Folium / Kepler.gl

  • 📝 Document and present project outcomes

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