Solutions to the Google Cloud challenge lab for the "Create ML Models with BigQuery ML" quest
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Updated
Feb 28, 2021 - Jupyter Notebook
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
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.
Leverage BigQuery ML and Vertex AI to build and deploy ML models for predicting customer churn
Biq Query + langchain REST API written in python
100+ SQL Scripts - PostgreSQL, MySQL, Google BigQuery, MariaDB, AWS Athena. DevOps / DBA / Analytics / performance engineering. Google BigQuery ML machine learning classification.
An example of machine pipeline on Bigquery ML using Dataform
Using BigQuery ML; create a machine learning model to recognize the US accent from within six other accents
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.
Forecasting COVID-19 using BigQueryML with ARIMA+ method
Looker extension designed to give business users access to BigQuery and Vertex AI's machine learning capabilities.
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.
CloudSkillBoost: Data Analyst Path
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.
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