Introduction to Machine Learning - Clustering - Part 3

Dive into the world of unsupervised learning with this comprehensive webinar on clustering, presented by Rashid Muhamedrahimov and Ethan Soo from Compass Lexecon's Data Science team. Explore the relationships within unlabeled data as you learn about two main clustering algorithms: k-means and hierarchical clustering. Gain insights into practical considerations and potential pitfalls when applying clustering techniques. Examine several real-world examples to solidify your understanding. Originally part of the Data Science Festival Summer School 2021, this hour-long session provides a thorough introduction to clustering methods in machine learning, equipping you with valuable knowledge for data-driven problem-solving.

Introduction to Machine Learning (Part 3) – Clustering