Deploying Machine Learning Models for Forensic Anthropology with Docker and Streamlit

Learn how to deploy machine learning models for forensic anthropology using Docker and Streamlit. This course teaches you how to create a web application for skeletal sex prediction through machine learning. You will use Python libraries such as pandas and scikit-learn to analyze data and build prediction models based on osteoarchaeology datasets. By packaging your code and dependencies into a Docker image and running it as a container, you will deploy your web application efficiently. The course covers topics like machine learning basics, using Streamlit for web applications, Docker fundamentals, and the process of building and deploying your application. This course is designed for individuals interested in deploying machine learning models, particularly in the fields of forensic anthropology and bioarchaeology.