Automotive insurance fraud involves someone deceiving an insurance company about a claim involving their personal or commercial motor vehicle. It can involve giving out misleading information or providing false documentation to support the claim. This workshop highlights the use of two Oracle Machine Learning notebooks working in conjunction with automobile insurance claims investigators in a two-step process. First, we use Oracle Machine Learning to “flag” for the investigator anomalous insurance claims using an unsupervised learning algorithm (1-Class Support Vector Machine). We help the claims investigators focus on the most suspicious claims using their expertise and knowledge using an Oracle APEX application.