{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/86ca91991fb54986860ae792b06da360\" frameborder=\"0\" width=\"1252\" height=\"939\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":939,"width":1252,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":939,"thumbnail_width":1252,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/86ca91991fb54986860ae792b06da360-69ebdb869b258734.gif","duration":434.598,"title":"Introducing Agentic AutoML for Easy Machine Learning Experiments 🚀","description":"In this video, I introduced my project, Gentic AutoML, which simplifies the process of running machine learning experiments without the complexity and cost of larger tools. I demonstrated how the system automatically determines the task type, analyzes data for issues, and trains models while correcting errors on its own. I ran a classification model to predict customer churn, achieving a precision of 0.85, recall of 0.83, and an F1 score of 0.84. I invite you to explore this tool further and consider how it can streamline your machine learning workflows."}