{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/5f24ca2c2968414dbf19da850bfef033\" 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/5f24ca2c2968414dbf19da850bfef033-f890cbe65335c71d.gif","duration":264.96,"title":"Predicting Insurance Premiums Using Machine Learning","description":"In this video, I present my insurance premium prediction project, where I utilize machine learning to forecast premiums based on customer health data, including factors like age, height, weight, and health conditions. I built interactive dashboards to visualize insights and deployed a Streamlit app for live predictions, making it accessible for both insurance analysts and customers. I trained various models, with the random forest model achieving the best accuracy. I invite you to explore the app by inputting details, such as a 40-year-old person weighing 80 kilograms, to see the estimated premium. Your feedback and engagement with the app would be greatly appreciated."}