fraud-ml-workshop

README

Workshop Description: Infrastructure for a Fraud Detection ML Application

This is the accompanying repo for a hands on workshop for building a ML infrastructure based on a real life system used in production.

The architecture is based on the PayPal fraud detection infrastructure and is designed for the conference attendees to have a hands on experience of a ML infrastructure.

The workshop was given at the Go Get conference in 05/2020 and will be given again at GopherCon in 11/2020.

The workshop is created by Natalie Pistunovich.

Setup

• Have GitHub set up on your machine
• Clone this repo
• Install Go (v1.14)
• Install the latest Docker
• Pull the Docker images:
  • docker pull aerospike/aerospike-server:5.0.0.10
  • docker pull aerospike/aerospike-tools:3.28.0
  • docker pull tensorflow/serving:2.2.0
• Download the Kaggle dataset of credit card transactions

In case you are new to Go, here are some useful links:

• A summarized overview of Go: Learn Go in Y Minutes
• A short hands on tutorial: Tour of Go
• A handy cheatsheet: Go by Example