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GitHub / KalyanM45 / Heart-Disease-Prediction

Explore a modular, end-to-end solution for heart disease prediction in this repository. From problem definition to model evaluation, dive into detailed exploratory data analysis. Experience seamless integration with MLOps tools like DVC, MLflow, and Docker for enhanced workflow and reproducibility.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KalyanM45%2FHeart-Disease-Prediction

Stars: 2
Forks: 2
Open Issues: 0

License: gpl-3.0
Language: Jupyter Notebook
Repo Size: 178 KB
Dependencies: 18

Created: 6 months ago
Updated: 3 months ago
Last pushed: 5 months ago
Last synced: 21 days ago

Topics: disease-prediction, end-to-end-machine-learning, heart-disease-prediction, heart-failure-prediction, machine-learning-operations, mlops-workflow

Funding links: https://github.com/sponsors/KalyanM45

Files
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    Readme
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    Dependencies
    Dockerfile docker
    • python 3.8-slim-buster build
    setup.py pypi