UofU Data Science
Visualization for Data Science - Filtering, Aggregation, and Clustering
Master data visualization techniques through filtering, aggregation, and interactive queries, exploring real-world applications like gerrymandering analysis and clustering methods including K-means and DBScan.
YouTube1 hour 19 minutesSelf-pacedFree video
UofU Data Science
K-means Clustering and Validation Methods in Data Mining - Spring 2023
Master clustering algorithms through k-means, k-medoids, and Lloyd's algorithm, including initialization techniques, validation methods, and performance metrics for effective data mining applications.
YouTube1 hour 19 minutesSelf-pacedFree video
Data Science Festival
Introduction to Machine Learning - Clustering - Part 3
Explore clustering in machine learning, focusing on k-means and hierarchical algorithms. Learn to uncover data relationships and apply techniques with practical considerations.
YouTube1 hour 4 minutesSelf-pacedFree video