Explore hierarchical clustering techniques using College Scorecard data in this 55-minute tutorial. Learn how to group similar educational institutions based on demographic and institutional characteristics, aiding students in their college search process. Discover the benefits and limitations of hierarchical clustering methods, understand clustering intuition, and follow along with data preparation and clustering procedures. Gain practical insights into this unsupervised machine learning technique for finding similar items without labeled data, and compare it to other popular clustering algorithms like K-means and DBSCAN.
Introduction to Hierarchical Clustering with College Scorecard Data
Overview
Syllabus
Introduction
Problem bBackground
Clustering Intuition
Data Preparation
Custering Procedures
Summary
QnA
Taught by
Data Science Dojo
