Enroll Course: https://www.udemy.com/course/prediction-maps-using-xgboost-knn-nb-ensemble-rf-in-gis/
If you’re passionate about geospatial analysis and machine learning, the Udemy course ‘Prediction Mapping Using GIS Data and Advanced ML Algorithms’ is an exceptional resource to elevate your skills. This course offers a comprehensive dive into four supervised classification techniques applied to remote sensing and geospatial datasets, enabling practical prediction applications across environmental and urban domains.
The course is divided into two major projects. The first focuses on multi-label classification problems, such as predicting species distribution and air pollution levels, including particulate matter concentration (PM10). This project leverages advanced algorithms like Extreme Gradient Boosting (XGB) and Random Forest (RF), with results published in reputable scientific journals, demonstrating its real-world applicability.
The second project addresses binary classification tasks, including land slide susceptibility, flood occurrence, and oil spill detection. By incorporating topographic, climate, and land use data, students learn how to produce predictive maps that can directly assist decision-makers and researchers.
What sets this course apart is its emphasis on using free remote sensing data, making it accessible even in data-scarce environments. The integration of the latest tools like LaGriSU (a free GIS plugin for automatic training/test data extraction) enhances practical learning.
For those who have previously completed courses using Artificial Neural Networks in landslide predictions, this course provides a valuable comparison and an update on the most advanced analysis models.
Whether you’re a GIS professional, environmental scientist, or data analyst, this course equips you with powerful skills to analyze geospatial data through machine learning, with clear applications in environmental monitoring, urban planning, and disaster management. Highly recommended for anyone looking to bridge the gap between geospatial data and cutting-edge machine learning techniques.
Enroll Course: https://www.udemy.com/course/prediction-maps-using-xgboost-knn-nb-ensemble-rf-in-gis/