{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/c22335d83cb04ac281e2ef080792f2dd\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/c22335d83cb04ac281e2ef080792f2dd-00001.gif","duration":138.571,"title":"Anomaly Detection Model Functionality","description":"In this video, I showcase the functionality of anomaly detection models. I demonstrate how to override the default model choice, specify anomaly types, and use ensemble models for predictions. The video includes examples with numeric and categorical data, and it highlights the different models used for each scenario. No action is requested from the viewers."}