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Using Machine Learning To Detect Fraud

The beginning of an End-to-End Machine Learning Project

Kurtis Pykes
TDS Archive
Published in
6 min readSep 22, 2020

Contents

Introduction

The Fraud detection problem

The Data

Building the Framework

Introduction

Machine Learning is a subset of Artificial Intelligence (AI) that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed. In saying that, it has been made possible for us (humans) to supply a large set of data to a computer for the computer to learn patterns so that it may learn how to make a decision when faced with a new instance or instances — When I discovered this insight I instantly knew the world is about to change.

It reveals that fraud is costing the global economy £3.89 trillion, with losses rising by 56% in the past decade. — Crowe UK

Having been a victim of fraud, coming up with ideas to prevent it from ever happening to me (and anyone else for that matter) again essentially contributed to me wondering into a totally different field from what I was accustomed to.

The Fraud Detection Problem

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TDS Archive

Published in TDS Archive

An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.

Kurtis Pykes

Written by Kurtis Pykes

Founder at The Social CEO | I co-write LI content for B2B service-based founders and CEOs

Responses (2)

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useless post, it's just like a simple demo program of random forest you can fin on the site of scikit-learn. he just put the tite "fraud detection"

please the source code of the project