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Practical guide to build end-to-end machine learning pipeline and deploy your model in production,

Home Page: https://medium.com/@karanshingde/machine-learning-in-production-your-comprehensive-101-practical-guide-c7de0b5ad011

License: MIT License

Jupyter Notebook 84.34% Python 15.59% Dockerfile 0.07%
azure data devops lightgbm machine-learning mlflow mlops numpy python sklearn xgboost

mlops-best-practices's Introduction

I'm Karan๐Ÿง‘๐Ÿฝโ€๐Ÿš€๐Ÿš€

  • Expert in building ML pipelines and analytics ๐Ÿ”ฎ
  • Freelancing on ML projects ๐Ÿ’ก
  • Currently learning MLOps and LLMs ๐ŸŒด
  • Ask me about Python, ML, DevOps and Gen AI ๐Ÿ™‹โ€โ™‚๏ธ
  • Contact: [email protected] ๐Ÿ“ฉ

My Resume ๐Ÿ“„

Tools and Technologies -

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karanshingde karanshingde karanshingde

Top Publications -

Social Links -

karanshingde | LinkedIn karanshingde | Twitter karanshingde



Extras:

karan842

  • Fun Fact: I got 8/50 at C programming exam in my first year๐Ÿ™„

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