Practical examples/tutorials of using One-Class Support Vector Machines

I am a newbie in machine learning, and hope to solve an anomaly detection task using One-Class Support Vector Machines (OCSVM). Despite the availability of several general introductions, definitions and academic papers on OCSVM, I do not find tutorials with practical examples except a few provided by scikit-learn. I'd appreciate some pointers to such resources especially with code examples/datasets as this will aid better understanding, than reading academic papers.

Topic anomaly-detection outlier libsvm machine-learning

Category Data Science

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