100+ SQL Scripts - PostgreSQL, MySQL, Oracle, Google BigQuery, MariaDB, AWS Athena. DBA, Analytics, DevOps, performance engineering. Google BigQuery ML machine learning classification.
-
Updated
Feb 3, 2026 - Shell
100+ SQL Scripts - PostgreSQL, MySQL, Oracle, Google BigQuery, MariaDB, AWS Athena. DBA, Analytics, DevOps, performance engineering. Google BigQuery ML machine learning classification.
Fraudfinder: A comprehensive lab series on how to build a real-time fraud detection system on Google Cloud
Package for dbt that allows users to train, audit and use BigQuery ML models.
AI/ML Recipes for Vertex AI, Serverless Spark and BigQuery open-source project is an effort to jumpstart your development of data processing and machine learning notebooks using VertexAI, BigQuery and Dataproc's distributed processing capabilities.
Looker extension designed to give business users access to BigQuery and Vertex AI's machine learning capabilities.
Biq Query + langchain REST API written in python
Practical MCP server for large BigQuery datasets. Supports vector search. Keep LLM context small while staying fast and allowing only safe read-only actions.
Google BigQuery Tutorial
CloudSkillBoost: Data Analyst Path
BigQuery Semantic Search Orchestrator
This repository showcases two machine learning projects using Google Cloud's BigQuery ML and Natural Language API to predict visitor purchases and perform entity and sentiment analysis on textual data.
Hybrid fraud detection and mass defect monitoring system built with BigQuery ML. Combines Logistic Regression and KMeans anomaly detection to identify return fraud, emerging risks, and product quality issues using a scalable cloud-native analytics pipeline.
Using BigQuery ML; create a machine learning model to recognize the US accent from within six other accents
End-to-end supply chain analytics — 12 SQL queries, BigQuery ML demand forecasting, and 4 Looker Studio dashboards. Built on 180K real orders with no Python.
End-to-end ELT pipeline on GCP using GCS, BigQuery, Airflow (Cloud Composer) and BigQuery ML for customer activity prediction.
The primary objective of this project is to predict the likelihood of a visitor making a purchase during a subsequent visit to the Google Merchandise Store.
SmartStockAI uses AI to predict inventory trends, minimize deadstock risks, and provide actionable insights through advanced models and interactive visualizations.
A distributed, LLM-powered microservices architecture for deterministic marketing orchestration on Google Cloud.
Solutions to the Google Cloud challenge lab for the "Create ML Models with BigQuery ML" quest
Add a description, image, and links to the bigquery-ml topic page so that developers can more easily learn about it.
To associate your repository with the bigquery-ml topic, visit your repo's landing page and select "manage topics."