Part-1 of the MLOps Evolution Series. A strictly reproducible machine learning pipeline using DVC, Git, and Pydantic. Replaces experimental notebooks with production-grade engineering.
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Feb 4, 2026 - Python
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dvclive
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Implemented data versioning, model experimentation & CI using DVC, DVClive, and GitHub Action.
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May 7, 2024 - Python
This project demonstrates a robust, modular, and reproducible end-to-end machine learning pipeline for text classification (spam detection), leveraging DVC for data and experiment versioning, and AWS S3 for scalable remote storage. The pipeline is designed for extensibility, transparency, and ease of collaboration.
python aws-s3 numpy scikit-learn jupyter-notebook s3-bucket pandas nltk dvc tfidfvectorizer randomforestclassifier dvclive
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Jul 12, 2025 - Jupyter Notebook
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