video1.0<iframe src="https://www.loom.com/embed/806ee76cec8046e1a1fc672989da1968" frameborder="0" width="1440" height="1080" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>10801440Loomhttps://www.loom.com10801440https://cdn.loom.com/sessions/thumbnails/806ee76cec8046e1a1fc672989da1968-1692717052993.gif2574.259Welcome to my video, where I'm excited to dive deep into my project, Text Analyzer. I'll take you through the entire journey of building end-to-end ML pipelines across different environments. From setting up the infrastructure, creating models, and tracking experiments to deploying, monitoring, retraining, and even setting up user-friendly web apps with CI/CD pipelines! I'll guide you step by step, showing you the actual code, the dashboards we use, and a live demonstration of the app in action. So, whether you're a tech enthusiast or just curious about how things work behind the scenes, this video is for you. Let's dive in!