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