video1.0<iframe src="https://www.loom.com/embed/86ca91991fb54986860ae792b06da360" frameborder="0" width="1252" height="939" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>9391252Loomhttps://www.loom.com9391252https://cdn.loom.com/sessions/thumbnails/86ca91991fb54986860ae792b06da360-69ebdb869b258734.gif434.598In 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.