Web Services
Explore how to create scalable web services for machine learning models using Python. Learn to make web requests with the Requests library, build APIs with Flask, and host apps in production using Gunicorn. Gain hands-on experience with tools to deploy and process model predictions in cloud settings.
We'll cover the following...
We'll cover the following...
Before we host a predictive model, we’ll use Python to call a web service and to process the result. After showing how to process a web response, we’ll set up our own service that echoes the passed-in message back to the caller.
In our pre-configured execution environment, the required libraries are already installed. To skip local installation instructions and move to their functionalities, click here. ...