Introduction to Machine Learning: Unsupervised Learning

Introduction to Machine Learning: Unsupervised Learning explores how machines uncover structure, patterns, and relationships in data without labeled outcomes. In this course, you’ll learn how to analyze and visualize high-dimensional data using Principal Component Analysis, discover natural groupings through clustering methods like K-Means and hierarchical clustering, and tackle real-world challenges such as missing data and recommender systems. Through hands-on practice and thoughtful interpretation, you’ll build the intuition and practical skills needed to extract insight from complex, unlab…