What's the Difference Between AWS vs. Azure vs. Google Cloud?
October 1, 2024
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Instructor: Google Cloud Training
2,150 already enrolled
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(19 reviews)
(19 reviews)
Load data into BigQuery and explore and create new features in BigQuery.
Bbuild an unsupervised model for anomaly detection.
Build supervised models (with logistic regression and boosted tree) for fraud detection.
Evaluate and compare the models and select the champion and use the selected model to predict the likelihood of fraud on a test data.
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Only available on desktop
This is a self-paced lab that takes place in the Google Cloud console.
Explore financial transactions data for fraud analysis, apply feature engineering and machine learning techniques to detect fraudulent activities using BigQuery ML.
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We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
Hands-on, project-based learning
Practice new skills by completing job-related tasks with step-by-step instructions.
No downloads or installation required
Access the tools and resources you need in a cloud environment.
Available only on desktop
This project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
19 reviews
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10.52%
10.52%
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Reviewed on May 13, 2024
OVERAL WAS GOOD BUT EXPLANINATIONS COULD BE SIMPLIFIED
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Google Cloud
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New York University
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