Machine Learning House Price Prediction API with FastAPI and DockerMachine Learning House Price Prediction API with FastAPI and Docker
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vivek sharma
• Oct 6
Built a machine learning application that predicts house prices from property features such as area, number of bedrooms, and bathrooms.
The project includes data preparation, model training, prediction, model saving, and integration with a FastAPI REST API. The application was also containerized with Docker and tested locally through API requests.
This project demonstrates the complete workflow from machine learning model development to API-based prediction and containerized deployment.
Completed work
AI DevelopmentDockerpandasMachine Learning EngineeringFastAPI
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