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ml_model_deploy

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his project demonstrates how to deploy machine learning models into production environments. It covers building, saving, and serving ML models through APIs or web applications, enabling real-time predictions and easy integration with other systems.

fastapi flask python python3

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Name		Name	Last commit message	Last commit date
Basic_framework		Basic_framework
README.md		README.md

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🧠 ML Model Testing & Deployment with Flask and FastAPI

This repository demonstrates how to test and deploy a machine learning model using two popular Python web frameworks: Flask and FastAPI.

📁 Folder: Basic Framework

Included:

Model training and serialization
REST API implementation with Flask and FastAPI
Local testing with sample input
Basic request testing scripts

👤 Author

Vishal Malik
🔗 LinkedIn
🔗 GitHub

About

his project demonstrates how to deploy machine learning models into production environments. It covers building, saving, and serving ML models through APIs or web applications, enabling real-time predictions and easy integration with other systems.

fastapi flask python python3

0 stars

1 watching

Report repository

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