Fraud Detection on Financial Transactions with Machine Learning on Google Cloud

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In this Project, you will:

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.

1.5 hours
Intermediate
No download needed
Shareable certificate
English
Desktop only

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.

Skills you will develop

  • Bigquery

  • Machine Learning

  • Feature Engineering

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