Learn how to deploy your machine learning models with Streamlit and Docker in this comprehensive tutorial! Streamlit allows you to build interactive web applications for your machine learning projects, while Docker enables easy containerization and deployment. In this video, we'll guide you through the process of building a Streamlit web app to showcase your ML model and then containerizing it with Docker for seamless deployment.
I have deployed Machine Learning Classification Model that detected the individual salary is greater than 50k or less than 50k .
This video is continuation of my video : Deploy Machine Learning Model using Flask , Docker and Minikube Kubernetes Cluster where i have deployed same application using Flask.
Link : [ Ссылка ]
Whether you're a data scientist, developer, or ML enthusiast, this tutorial will empower you to deploy and share your models with the world. Join us and take your ML projects to the next level! #MachineLearning #Streamlit #Docker #Deployment #Tutorial #DataScience #MLModels #WebApp
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