In this lab we will use Quicksight ML insights feature to detect anomalies/fraud on a sample data dataset.
Analysts at Telcos make use of dashboards to monitor the traffic and usage
of their networks.
They traditionally look at different KPIs on large screens, trying to detect
any anomaly.
Amazon QuickSight helps Analysts in building analysis sheets and dashboards
quickly and efficiently.
Furthermore, with Amazon QuickSight ML Insights they can access advanced Machine
Learning features without prior ML exprience.
For example, in this workshop we’ll see how QuickSight can run a
RandomCutForest algorithm in background on your data set to detct outliers
and anomalies.
An AWS account is required to run this Lab, but no prior AWS experience is required. Click here to get started with AWS!
No prior experience with Machine Learning is required to complete this Lab.
Feel free to ask questions when in doubt and enjoy the workshop!