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Credit Card Fraud Detection

Project type

Logistic Regression

Date

April 2023

Location

Melbourne

Data Scientist


Utilizing a set of variables, which for security reasons, have been masked through PCA, a Logistic Regression model was created to detect if a transaction was fraudulent or not. The model performed excellently, whilst also not being skewed towards any form of false positive/negatives.

Tasks:
- Data wrangling
- Data pre-processing
- Data exploration
- Model training
- Model testing
- Model evaluation

Code: https://github.com/jec0210/portfolio.git

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