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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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