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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
Dependencies
- python 3.8-slim-buster build
- cloudpickle ==2.2.1
- mlflow <3,>=2.2
- numpy ==1.24.4
- psutil ==5.9.6
- scikit-learn ==1.3.2
- scipy ==1.10.1