Unsupervised Learning with R

Goals

What will you learn in this course:

What You Will Learn

• Fundamentals of Unsupervised Learning: Grasp the core concepts and different approaches of unsupervised learning in data science.

• R Programming Deep Dive: Whether you're starting fresh or brushing up, you'll gain a strong command of R, a language pivotal in data analysis and machine learning.

• Key Algorithms and Techniques: Explore essential algorithms like hierarchical clustering, association rules, and Principal Component Analysis (PCA).

• Real-world Data Projects: Apply your knowledge to real-world datasets, uncovering hidden patterns and gaining practical, hands-on experience.

• Interactive Learning Experience: Engage with real-world programming assignments, enhancing your learning experience.

Prerequisites

What are the prerequisites for this course?

• Some familiarity with programming languages is helpful, but not required. Some familiarity with R is helpful, but not necessarily required.