One Class Support Vector Machine (OC-SVM) | Anomaly Detection | Explained with Examples

About this lesson

📘 Notes:- https://robosathi.com/docs/machine_learning/unsupervised/anomaly_detection/one-class-svm/ 🎥 NLP Course: https://www.youtube.com/playlist?list=PLnpa6KP2ZQxcDlHCeNiKbRhLWKVunQaxn 🎥 Deep Learning Course: https://www.youtube.com/playlist?list=PLnpa6KP2ZQxe749nPGDV2cd6SR6zIZIJl 🎥 Machine Learning Course: https://www.youtube.com/playlist?list=PLnpa6KP2ZQxeydAqz2lsSMFYinbrJy9mu 🎥 Full Maths Course: https://www.youtube.com/playlist?list=PLnpa6KP2ZQxen-R6NytSMigAri7piPhFp 🎥 Next Video: Local Outlier Factor (LOF) :- https://youtu.be/8W3mTEKTORg 🎥 Related Videos: 1) Support Vector Machine (SVM) :- https://youtu.be/Tg8TBImoOqU 2) Hard Margin Support Vector Machine (SVM) :- https://youtu.be/uPjOC92Hcq0 3) Soft Margin SVM :- https://youtu.be/LofkdQ6rCPA 4) Kernel Trick in SVM :- https://youtu.be/y-7uDAiEYpA 👉 In this video, we explain One Class Support Vector Machine (OC-SVM)—a powerful algorithm used for novelty detection and outlier detection when only normal data is available. 🎯 Learning Objectives ✅ Understand the use case of novelty detection ✅ Explain the working of One Class Support Vector Machine (OC-SVM) ✅ Interpret formal terms used in OC-SVM ✅ Understand how OC-SVM finds outliers and anomalies 👉 Maths for ML Playlist: https://www.youtube.com/playlist?list=PLnpa6KP2ZQxePOg6k6vAkcg5Y50EAZds9 🕔 Time Stamp 🕘 00:00:00 - 00:00:23 Introduction 00:00:24 - 00:02:54 Use Case of Novelty Detection 00:02:55 - 00:06:47 Problem Solution 00:06:48 - 00:07:21 What's the Task? 00:07:22 - 00:09:53 One Class SVM 00:09:54 - 00:12:00 Example of One Class SVM 00:12:01 - 00:13:50 Formal Explanation of Terms 00:13:51 - 00:17:43 Finding the Outlier 00:17:44 - 00:18:18 What's Next? 🤔 #ai #ml #outliers #oneclasssvm #svm

Original Description