Streaming Anomaly Detection Solution by using Pub/Sub, Dataflow, BQML & Cloud DLP
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Updated
Jan 5, 2026 - Java
Streaming Anomaly Detection Solution by using Pub/Sub, Dataflow, BQML & Cloud DLP
Looker extension designed to give business users access to BigQuery and Vertex AI's machine learning capabilities.
BigQuery Skills - Claude Code plugin that makes Claude a BigQuery expert. 5 skills covering query optimization, SQL generation, schema design, cost optimization, and BigQuery-specific features. Detects 11 anti-patterns, generates optimized SQL, designs schemas, and estimates costs.
Automate BigQuery tasks with Claude Code. Use this plugin to generate SQL, optimize costs, design schemas, and detect anti-patterns.
Código fuente: Análisis de Vuelos basado en trabajo de Valliappa Lakshmanan.
AI-powered F1 analytics agent for McLaren Racing — BigQuery, BQML, and a multi-tier ADK agent on Google Cloud.
Learning, quizzes and practical lab works of Machine Learning course from Google Cloud on Coursera platform.
Sanitized ML-based risk scoring pipeline for a Tier-1 UK Retail Bank (GCP + BigQuery ML). Includes Batch/ETL ingestion, feature engineering, BQML training, scoring workflows, governance, lineage, and runbooks. No client code/data.
Use Bigquery Machine Learning (BQML) to apply advertising techniques
GCP data pipeline predicting power outages in São Paulo based on weather data. Ingests CSV data into BigQuery, pulls real-time weather via Cloud Functions and Pub/Sub, and uses ARIMA and LightGBM models for predictions. Results are visualized in Looker Studio. Infrastructure is deployed with Terraform.
UFC odds ML pipeline using BigQuery ML + rolling features. Includes upcoming fight value flags
febqml
: Feature Engineering # BigQueryMachineLearning
onnxwildlife 🐻🦢 : Wildlife Image Classification Model # PyTorch # ONNX # BigQuery
GenAI data pipeline that performs data preparation, management and performance evaluation tasks for RAG systems using SQL as the primary development language. Please feel free to use this as a starting point for your own projects.
Retrospective ICU early-warning case study on eICU-CRD: risk-ranking patient-hours against a documented code-event proxy, hospital-level holdout, fixed alert-budget and alert-policy analysis. BigQuery ML / SQL.
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