DBSCAN Clustering: Stop #4 on Your DIY Data Science Roadmap

⬇️ Get the files and follow along: https://bit.ly/3ZKq6wq Do you DBSCAN? If not, you really should. Here's why. The DBSCAN clustering algorithm is designed to mine hidden patterns in unlabeled data. Since most of the world's data is unlabeled, DBSCAN cluster analysis is useful to any professional. The good news is that DBSCAN is as easy to learn as it is powerful. This crash course will prove it to you. You will also learn how to use the scikit-learn library in Python to perform DBSCAN clustering. ☕ If you found this content useful and would like to support the channel, you can buy me a coffee: https://www.buymeacoffee.com/DaveOnData -------------------------------------------------------------------------------------------- Save 20% off my machine learning online courses -------------------------------------------------------------------------------------------- Use coupon YOUTUBE. Cluster Analysis with Python online course: https://bit.ly/ClusterAnalysisWithPythonCourse Learn decision trees and the mighty random forest: https://bit.ly/TDWIIntroToML -------------------------------------------------------------------------------------------- Book links -------------------------------------------------------------------------------------------- Intro to Statistical Learning: https://www.statlearning.com/ Data Mining textbook: https://www.amazon.com/Introduction-Mining-Whats-Computer-Science/dp/0133128903/ -------------------------------------------------------------------------------------------- Video Chapters -------------------------------------------------------------------------------------------- 00:00 Intro 01:55 The Dataset 07:15 Introducing DBSCAN Clustering 10:07 Density-Based Clusters 12:26 DBSCAN Clustering Algorithm 16:56 DBSCAN by Example 23:41 DBSCAN Caveats 25:45 DBSCAN with Python 29:00 The DBSCAN Clusters 30:57 Continue Your Learning #machinelearning #dbscan #datascience