video1.0<iframe src="https://www.loom.com/embed/e7d952a803904c26b0e9fbd0f2164f3c" frameborder="0" width="1280" height="960" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>9601280Loomhttps://www.loom.com9601280https://cdn.loom.com/sessions/thumbnails/e7d952a803904c26b0e9fbd0f2164f3c-b189f319c73c10f5.gif300.134In this video, I demonstrate my machine learning app using Zenml and MLflow to train a model and deploy it as an endpoint. I upload a CSV file, select viscosity as the target variable, and use a lasso model for training. After registering the model in our MLflow server, I show how to deploy it and invoke predictions with different input values. I encourage you to explore the app and test various parameters to see how it performs. Please let me know if you have any questions or need further assistance.