Artifact-driven ML delivery framework based on CRISP-DM for structured and reproducible ML workflows
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Updated
Mar 30, 2026
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data-science-workflow
Here are 3 public repositories matching this topic...
Automated Data Scientist: An intelligent, adaptive data analysis tool that leverages AI-driven automation to dynamically plan, execute, and refine data science workflows. Automatically handles data preparation, analysis planning, code generation, and result interpretation using advanced language models.
python machine-learning automation exploratory-data-analysis data-visualization language-models data-preparation api-integration scalable-data-analysis automated-data-science data-insights ml-ops openai-gpt ai-driven-analytics dynamic-analysis-planning adaptive-analytics data-science-workflow intelligent-data-processing ai-powered-data-tools
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Sep 10, 2024 - Python
End-to-End MLOps pipeline for predictive modeling. Implements Experiment Tracking with MLflow, modular architecture based on Cookiecutter Data Science, and production-ready logging.
python scikit-learn reproducibility wine-quality mlops mlflow experiment-tracking data-science-workflow
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Updated
Dec 8, 2025 - Jupyter Notebook
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