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feature-engineering-python

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flyingriverhorse / Skyulf

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Star 38

Build and ship production ML pipelines faster: a pipeline library with an optional self-hosted visual layer for modular, reproducible workflows, local testing, and experiment tracking.

react redis machine-learning deep-learning docker-compose self-hosted celery visual-programming low-code model-deployment privacy-first mlops ml-pipeline model-registry experiment-tracking local-first data-orchestration mlops-workflow ml-platform-workflow feature-engineering-python
  • Updated Feb 25, 2026
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Amey-Thakur / KAGGLE-COURSES

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A comprehensive archive of completed Kaggle Data Science, Machine Learning, and Data Manipulation courses, documenting structured Python exercises and certifications.

python data-science machine-learning deep-learning pandas data-visualization kaggle courses data-manipulation feature-engineering data-science-portfolio data-cleaning machine-learning-tutorials machine-learning-explainability intro-to-ml kaggle-courses model-explainability ameythakur amey feature-engineering-python
  • Updated Feb 21, 2026
  • Jupyter Notebook

darshanabk / YouTube-Trends

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An automated pipeline that uses the YouTube Data API to extract video data based on specific keywords, storing the most-viewed videos in GitHub for trend analysis and actionable insights.

github-automation streamlit-dashboard data-visualization-python plotly-visualization google-translator-api python-data-pipeline youtube-data-extraction youtube-trends-analysis youtube-api-automation video-trends-insights devops-youtube-trends feature-engineering-python kaggle-data-pipeline data-cleaning-python api-integration-python iso-3166-alpha-2 youtube-video-analysis content-trend-analysis youtube-engagement-metrics streamlit-app-deployment
  • Updated Feb 26, 2026
  • Jupyter Notebook

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