Deploy a Customer Churn Prediction Model with Streamlit and Docker

Deploy a customer churn prediction model using Streamlit and Docker in this 28-minute video tutorial. Learn how to transform a machine learning model from a Jupyter Notebook environment into a containerized application. Explore the process of building UI components with Streamlit and packaging the model as an endpoint using Docker. Gain insights into addressing customer churn, a critical issue for businesses in the competitive SaaS market. Discover how to leverage historical data patterns and machine learning techniques to develop focused customer retention programs. Follow along as speakers Ajeet Singh Raina and Soniya Mehta demonstrate the step-by-step process of creating an interactive application for predicting customer behavior and improving retention strategies.

Deploy a Customer Churn Prediction Model with Streamlit & Docker