- Introduction to Clustering: K-means and Hierarchical Approaches

This session will introduce the principles and applications of clustering. Students will learn about the different types of clustering problems, and they will explore some of the most popular clustering algorithms, such as K-means and hierarchical clustering.

Notebook(s)

• Hands-on Intro Clustering
• Hands-on Intro Clustering Solutions

App

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• NBA Player Injury Replacement Recommender Streamlit

Recommended Datacamp exercises:

• Python

Recommended Readings and resources

• Python Data Science Handbook Chapter 5
  • What Is Machine Learning?
  • Introducing Scikit-Learn
  • Feature Engineering
  • In Depth: Principal Component Analysis
  • In Depth: k-Means Clustering