Detecting fraud with Azure Machine Learning Service, Synapse Spark Pool, and PySpark
Synopsis:
Why is detecting fraud so important?
- Takes away resources from legit customers.
- Affects getting a clear picture of product and metrics.
Goal:
- To create customer core hour usage profile.
- Do anomaly detection to identify fraudulent customers.
Reference links:
- Kaggle
- Microsoft
- TorwardsDataScience
Submit Spark jobs in Azure Machine Learning (preview) [link]
Interactive Data Wrangling with Apache Spark in Azure Machine Learning (preview) [link]
- Import and wrangle data from Azure Machine Learning Datastore [link]
- Import and wrangle data from Azure Blob storage [link]
- Import and wrangle data from Azure Data Lake Storage (ADLS) Gen 2 [link]
- Accessing data on the default file share [link]
Identity used to access data