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Credit Card Fraud Detection via Machine Learning: A Case Studyby@davisdavid
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Credit Card Fraud Detection via Machine Learning: A Case Study

by Davis David8mMarch 23rd, 2021
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This is the second and last part of my series which focuses on Anomaly Detection using Machine Learning. In this article, I will take you through a case study focus on Credit Card Fraud Detection. The main task is to identify fraudulent credit card transactions by using Machine learning. We are going to use a Python library called PyOD which is specifically developed for anomaly detection purposes. The dataset we will use contains transactions made by credit cards in September 2013 by European cardholders. We will start by importing important packages such as pandas, numpy,sklearn and pyod.

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Davis David@davisdavid
Data Scientist | AI Practitioner | Software Developer| Technical Writer

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