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Library/ Machine Learning (Supervised + Unsupervised)/ Unsupervised Learning by Building (one technique, two mini projects)/ U04 · Build: Anomaly Detection — A: Credit-Card Fraud Detection · B: Electricity Load Anomalies

subtopic

Local Outlier Factor and One-Class SVM

10 min applied10 min research2 curated resources

Fit LOF (novelty=True) and One-Class SVM on a normal sample; compare top alerts with Isolation Forest. Concepts: Local density; novelty vs outlier detection; boundary around normal data Project A: LOF/OC-SVM on a 50k-row sample; compare with Isolation Forest. Project B: LOF on daily features inside each season.

Notes, key code, what to skip and 2 curated resources are inside the platform.Join the waitlist and we'll build you a roadmap that includes this topic only if your goal needs it.

Local Outlier Factor and One-Class SVM · 1x1labs.ai