Species Distribution Models with GIS & Machine Learning in R

"Are You an Ecologist or Conservationist Interested in Learning GIS and Machine Learning in R?Are you an ecologist/conservationist looking to carry out habitat suitability mapping? Are you an ecologist/conservationist looking to get started with R for accessing ecological data and GIS analysis? Then this course is for you! I will take you on an adventure into the amazing of field Machine Learning and GIS for ecological modelling. You will learn how to implement species distribution modelling/map suitable habitats for species in R. In this course, actual spatial data from Peninsular Malaysia will be used to give a practical hands-on experience of working with real life spatial data for mapping habitat suitability in conjunction with classical SDM models like MaxEnt and machine learning alternatives such as Random Forests. So Many R based Machine Learning and GIS Courses Out There, Why This One?This is a valid question and the answer is simple, you will gain exposure to working your way through a common ecological modelling technique- species distribution modelling (SDM) using real life data. Students will also gain exposure to implementing some of the most common Geographic Information Systems and spatial data analysis techniques in R. I have designed this course for anyone who wants to learn the state of the art in Machine learning in a simple and fun way without learning complex math or boring explanations. Yes, even non-ecologists can get started with practical machine learning techniques in R while working their way through real data."