{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/99f32d7882764d9d8f4dc6ce3d824319\" 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/99f32d7882764d9d8f4dc6ce3d824319-1714382698066.gif","duration":2226.089,"title":"Building Domain Specific Datasets for Machine Learning Models","description":"In this Loom, I explain how to build domain-specific datasets for machine learning models. We discuss the importance of domain expertise and collaboration, and I guide you through the process step by step. By the end, you will have a clear understanding of how to define your project, set up the necessary resources, and generate a dataset. No action is required from you, but I encourage you to watch the video to gain valuable insights into building effective machine learning models."}