video1.0<iframe src="https://www.loom.com/embed/953d824f72234de88ff0cf7e3e92ac09" frameborder="0" width="1662" height="1246" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12461662Loomhttps://www.loom.com12461662https://cdn.loom.com/sessions/thumbnails/953d824f72234de88ff0cf7e3e92ac09-17e98c756a8024b3.gif111.591In this video, I introduce our ML agent, an autonomous multi-agent system designed to streamline the workflow of data scientists, who typically spend 80% of their time on repetitive tasks. By automatically gathering context from sources like Google Scholar, GitHub, and Hugging Face, our system enhances efficiency. I demonstrate how, after uploading a dataset, our agent system employs a manager agent to coordinate various specialized agents that analyze the data, find relevant research, and develop a machine learning model with optimal results. I encourage you to explore this innovative tool to improve your data analysis processes. Please let me know your thoughts or questions!