bigquery-ml

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

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.

Package for dbt that allows users to train, audit and use BigQuery ML models.

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.

Declarative Google Agent Development Kit (ADK) agents for Gemini Enterprise powered by BigQuery Conversational Analytics and other custom tools. These agents can be thought of as demos / accelerators.

CloudSkillBoost: Data Analyst Path

Google BigQuery Tutorial

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.

Using BigQuery ML; create a machine learning model to recognize the US accent from within six other accents

Banking & Finance loan risk and portfolio analytics system using Python, MySQL, BigQuery, dbt, BigQuery ML, and Power BI

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.

Enterprise time-series forecasting on Google Cloud — 34 models across 5 families, 7 runtimes (Dataproc Serverless, Ray, Vertex AI, GKE, Compute Engine, BigQuery ML), one JSON configuration, zero-idle compute, and results in BigQuery.

BigQuery ML, BigQuery AI, and 4-Lens Agent Skills: 104 live-verified SQL/Python workflows, zero-dependency CLI catalog & skill installer, and stdio MCP server.

Ma mission a été de construire un pipeline de données optimisé, d'analyser des millions de trajets (3M+) de taxis jaunes New-Yorkais et développer un modèle de prédiction du prix d'un trajet pour aider une startup innovante à conquérir le marché (Données fictives)

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.