An exceptional course that bridges machine learning and spatial analytics in a clear, practical, and engaging way! Milan Janosov expertly explains the unique challenges of spatial data and shows how to adapt machine learning techniques for real-world applications. From spatial autocorrelation and interpolation to clustering methods like K-Means and DBSCAN, and advanced supervised approaches like spatial regression and random forests, the course provides both strong theoretical grounding and hands-on practice with Python libraries such as GeoPandas. The content is perfectly balanced between fundamentals and forward-looking topics like GeoAI, making it an invaluable resource for anyone looking to master spatial machine learning. Highly recommended!
Spatial Machine Learning and Statistics in Python
With Milan Janosov, Ph.D.
Liked by 73 users
Duration: 1h 18m
Skill level: Advanced
Released: 8/21/2025
Course details
In this course, globally recognized expert Milan Janosov provides a hands-on introduction to the intersection of machine learning and spatial analytics, covering core concepts, challenges, and real-world applications. Learn about spatial statistics fundamentals, including spatial autocorrelation and interpolation, using Python libraries like GeoPandas. Dive into unsupervised machine learning techniques, such as hotspot analysis, K-Means, and DBSCAN clustering, and apply these techniques to geospatial data. Explore supervised learning methods, including spatial feature engineering, regression models, and spatial random forests for predictive analytics, setting the stage for further exploration. This course teaches you the skills to conduct advanced statistical analysis and execute machine learning tasks on spatial data.
Skills you’ll gain
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Meet the instructor
Learner reviews
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Peter Kozma
Peter Kozma
Product Manager of Ground Truth Data for Autonomous Vehicle Development & Assistant Professor of Sensorics of Autonomous Vehicles
Contents
What’s included
- Practice while you learn 1 exercise file
- Learn on the go Access on tablet and phone
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