Machine Learning (ML) for Landslide Prediction Mapping with RStudio and ArcGIS

Join our Online Workshop: Machine Learning (ML) for Landslide Prediction Mapping with RStudio and ArcGIS.Unlock the world of machine learning and geospatial analysis as we guide you through a comprehensive journey in this workshop. Covering a wide spectrum of topics, this workshop is designed to provide you with practical knowledge and skills that can be applied to real-world challenges in landslide prediction mapping.In Module 1, Start with machine learning foundations, history, terminology, and core components. Explore techniques, practical applications, and distinctions from traditional programming. Understand common algorithms, the machine learning workflow, and future trends.Module 2: Focus on data preparation and exploration, including data collection, preprocessing, exploratory data analysis for geospatial data, and spatial data handling.Module 3: Enhance prediction accuracy through feature selection and engineering strategies.Module 4: Build Random Forest and Support Vector Machine models in model selection and training.Module 5: Learn model evaluation, prediction, assessing performance, and spatial visualization.Module 6: Discover model refinement techniques, including hyperparameter tuning and feature engineering.Module 7: Bring it all together by training the final model, generating susceptibility maps, and effective visualization/reporting.This workshop is an opportunity to acquire a comprehensive skill set that bridges the gap between theory and practical application, empowering you to excel in the field of landslide prediction mapping using RStudio and ArcGIS. Join us for this engaging and informative journey into the world of machine learning and geospatial analysis.