R: Apply & Analyze K-Means Clustering for Unsupervised ML

This hands-on course equips learners with the foundational knowledge and practical skills to implement K-Means clustering for unsupervised machine learning using the R programming language. Designed for those with a basic understanding of R and statistics, the course guides learners through the process of exploring real-world datasets, preparing data for clustering, and interpreting segmentation results. Learners will begin by describing core clustering concepts and explaining the goals of unsupervised customer segmentation. They will then apply the K-Means algorithm in R and analyze the effe…