Titanic Survival Prediction API built with FastAPI, Scikit-learn Pipeline, and Docker.
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Titanic Survival Prediction API
A lightweight, containerized FastAPI application that predicts Titanic passenger survival using a trained Scikit-learn Pipeline.
The image is ready to run with Docker and includes interactive API documentation via Swagger UI.
Quick Start Pull the image docker pull byteninja16/titanic-api:latest Run the container docker run -p 8000:8000 byteninja16/titanic-api:latest Open the API Swagger UI: http://localhost:8000/docsā API Root: http://localhost:8000/ā Features š FastAPI REST API š¤ Scikit-learn Machine Learning Pipeline š Titanic Survival Prediction š¦ Dockerized Deployment š Interactive Swagger Documentation Documentation
For the complete source code, project documentation, implementation details, and setup instructions, visit the GitHub repository:
GitHub Repository: https://github.com/ByteNinjaOfficial/Atlasā
Tech Stack Python 3.12 FastAPI Scikit-learn Pandas NumPy Joblib Docker Uvicorn
Content type
Image
Digest
sha256:112a9ecbbā¦
Size
234.8 MB
Last updated
3 months ago
docker pull byteninja16/titanic-api