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Develop an API that serves machine learning models. This involves integrating your FastAPI application with a machine learning model, handling data input and output, and providing a clean API interface for model predictions. Use a machine learning framework like TensorFlow, PyTorch, or Scikit-learn. Your FastAPI application should be designed to load the machine learning model. You'll need to define endpoints that accept input data. The application should handle pre-processing of the data. Then use the model to make predictions. Then post-process the output, and then return the predictions. This project lets you combine your **_API_** development skills with your machine learning expertise. You’ll learn how to build production-ready machine-learning services and understand the challenges of deploying and managing machine learning models. Your expertise will be enhanced by creating this project.
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