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100+ SQL Scripts - PostgreSQL, MySQL, Google BigQuery, MariaDB, AWS Athena. DevOps / DBA / Analytics / 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.
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
An example of machine pipeline on Bigquery ML using Dataform
CloudSkillBoost: Data Analyst Path
Using BigQuery ML; create a machine learning model to recognize the US accent from within six other accents
Solutions to the Google Cloud challenge lab for the "Create ML Models with BigQuery ML" quest
Google BigQuery Tutorial
bigquery sql - k means model - tableau
Leverage BigQuery ML and Vertex AI to build and deploy ML models for predicting customer churn
Forecasting COVID-19 using BigQueryML with ARIMA+ method
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.
This project uses BigQuery to explore the Google Analytics dataset, and build a Machine Learning Model to predict whether a visitor on the website will make a purchase or not.
This Vertex AI Pipeline orchestrates the selection, deployment, and real-time monitoring of the highest-performing machine learning model from a pool of candidates. Designed to support a dynamic and collaborative model development environment, it ensures that only the most accurate and relevant models are deployed for fraud detection tasks.