Creditcard-fraud-detection

Credit card fraud detection - the challenge is to recognize fraudulent credit card transactions, so that the customers of credit card companies are not charged for items that they did not purchase.

Table of Content

• Overview
• Algorithm
• Data

Overview

we are going to identify transactions with a high probability of being credit card fraud by using a dataset of nearly 28,500 credit card transactions and multiple unsupervised anomaly detection algorithm.

Algorithm

we are going to use in this project two Machine learning algorithms.

1. Local Outlier Factor (LOF)
2. Isolation Forest Algorithm

Data

Link: https://www.kaggle.com/mlg-ulb/creditcardfraud