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Deploy a BigQuery ML Customer Churn Classifier to Vertex AI for Online Predictions

Курс от Google Cloud

Средний≈ 1.5 чАнглийский

О курсе

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will train, tune, evaluate, explain, and generate batch and online predictions with a BigQuery ML XGBoost model. You will use a Google Analytics 4 dataset from a real mobile application, Flood it!, to determine the likelihood of users returning to the application. You will generate batch predictions with your BigQuery ML model as well as export and deploy it to Vertex AI for online predictions.

Навыки, которые вы освоите

Model Deployment Predictive Modeling Google Analytics Cloud Deployment Model Training Applied Machine Learning Data Management Machine Learning MLOps (Machine Learning Operations)Model Optimization Model Evaluation Data Preprocessing Cloud Storage Google Cloud Platform

Программа курса

1 модулей · 1 учебных материалов

01Deploy a BigQuery ML Customer Churn Classifier to Vertex AI for Online Predictions1 материалов

Deploy a BigQuery ML Customer Churn Classifier to Vertex AI for Online Predictions

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