Скачать или смотреть ML Model Deployment with FastAPI – Step-by-Step Tutorial

🐦 ML Model Deployment with FastAPI – Step-by-Step Tutorial
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Learn how to turn your machine learning model into a fully functional REST API using **FastAPI**! In this beginner-friendly guide, we'll walk through training a model, setting up FastAPI, and serving predictions—all in less than 20 minutes!

🔍 Whether you're a data scientist, ML engineer, or backend developer, this tutorial gives you practical deployment skills you can use in real-world projects or startups.



🧠 Topics Covered:
Training a simple ML model using scikit-learn
Saving and loading models with `joblib`
Building a REST API with FastAPI
Accepting JSON input with Pydantic models
Running the server with Uvicorn
Testing predictions using curl/Postman
Optional CORS setup for frontend integrations



🔑 Key Takeaways:
Serve any machine learning model through APIs
Build scalable ML backend systems
Simple and modern FastAPI architecture
Ideal for deployment on Hugging Face, Render, or Railway



📂 Useful Links:
🔗 [FastAPI Docs](https://fastapi.tiangolo.com/)
🔗 [Scikit-learn](https://scikit-learn.org/stable/)
🔗 [Deploy FastAPI on Hugging Face Spaces](https://huggingface.co/spaces)
🔗 [Railway Deployment](https://railway.app/)
🔗 [Render Deployment](https://render.com/)
🔗 [Uvicorn Server](https://www.uvicorn.org/)



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#FastAPI #MLDeployment #MachineLearning #PythonAPI #ScikitLearn #Uvicorn #AIProjects #APIDevelopment #DeployMLModel #BeginnerFriendly #DataScienceTools #FastAPIProject #AITutorial #RESTAPI #OpenSourceTools

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