In this quest, you will learn how to deploy machine learning models using Flask, a popular web framework for Python. The journey will start by understanding the basics of Flask and how it can be utilized to serve machine learning models. You'll go through the process of creating a RESTful API that can take user input, pass it to your trained model, and return predictions in real-time. Additionally, you'll explore best practices for structuring your code, handling errors, and ensuring your API is secure and efficient. By the end of this quest, you'll have a fully functional web application that showcases your machine learning model, ready to be shared with the world. This practical experience will not only enhance your deployment skills but also give you the confidence to tackle real-world problems involving machine learning.
