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python-data-pipeline

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darshanabk / YouTube-Trends

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Star 5

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 Dec 19, 2025
  • Jupyter Notebook

darkmatter2222 / NLU-Redact-PII

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Python pipeline for synthetic data generation with a custom Llama sentence generator. It creates field values, prompts & validated sentences (stored in JSON) and includes a training template focused on PII redaction, data sensitivity & compliance.

natural-language-generation synthetic-data-generation python-data-pipeline llama-based-sentence-generator llm-custom-prompt-engineering pii-data-redaction-techniques data-de-identification-best-practices sensitive-data-compliance data-privacy-standards training-templates-for-synthetic-data automated-json-data-storage privacy-protection-in-machine-learning secure-data-handling-in-python data-sensitivity-and-redaction compliance-in-ai-data-pipelines
  • Updated Feb 12, 2025
  • Python

Guillermo-Abraham-Oliva / python-backend-stage

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Python backend project focused on data processing and automation. Includes a modular architecture, a full CLI interface, JSON merging workflow, data validation, logging system, and reporting tools. Designed as a real backend pipeline for inventory updates and transformations.

python backend data-processing command-line-interface json-processing inventory-system modular-architecture cli-tools data-automation logging-system python-data-pipeline
  • Updated Dec 18, 2025
  • Python

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