Deployment
Deployment in Data Science refers to the process of making a model or application available for use in a production environment. This involves taking the code and model that were developed during the training and testing phases and deploying them to a server or cloud-based platform where they can be accessed by end-users. The deployment process involves several steps, including configuring the infrastructure, setting up the necessary software dependencies, and ensuring that the application is secure and scalable. Once the application is deployed, it can be monitored and maintained to ensure that it continues to function properly and meets the needs of its users.
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