R: Design & Evaluate Random Forests for Attrition

This course guides learners through the structured development of predictive models using Random Forest techniques in R, specifically applied to employee attrition data. The course is divided into two comprehensive modules. The first module introduces the foundational concepts of classification and Random Forest algorithms, guiding learners to explain, identify, and prepare relevant variables. Learners also perform essential preprocessing tasks to shape the dataset for analysis. In the second module, students construct, tune, and evaluate Random Forest models using real-world HR data. Through…