Fraud Detection System

Build end-to-end Examples with SageMaker Services and Features.

Fraud Detection System for Auto Claims

Architect and build an end to end auto claims fraud detection example. This section consists of 4 notebooks and the next one consists of 1 notebook that ties all the steps together in an automated Pipeline

Fraud Detection System for Auto Claims using Exploratory Data Science

• SageMaker End to End Solutions: Fraud Detection for Automobile Claims
• Part 1 : Data Preparation, Process, and Store Features
• Part 2: Train, Check Bias, Tune, Record Lineage, and Register a Model
• Part 3 : Mitigate Bias, Train another unbiased Model and Put in the Model Registry
• Part 4 : Deploy, Run Inference, Interpret Inference

Fraud Detection System for Auto Claims using an automated Pipeline

• Part 5 : Create an End to End Pipeline