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This project demonstrates the implementation of a ML pipeline and CI/CD using data on heart strokes. The pipeline includes data preprocessing, model training and evaluation, and deployment. The project leverages GitHub for version control and integration with GitHub actions for efficient and automated model updates.

License: MIT License

Dockerfile 0.01% Python 7.20% Jupyter Notebook 91.75% CSS 0.13% HTML 0.91%
cicd machine-learning machine-learning-pipelines ml-pipeline

ml-pipeline-using-stroke-data's Introduction

Hi, I'm ARAVIND

aravind-selvam

ABOUT ME

  • ๐Ÿ”ญ Iโ€™m currently working as Data Scientist at Xelpmoc Design and Tech Limited

  • ๐ŸŒฑ Iโ€™m currently working on Document AI and Large Language Models

  • ๐Ÿ’ป Check my Projects and other Repos HERE.

  • โšก Fun fact is am Ex-National level Motorsports Athlete and Ex-Startup owner.

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