• Modeled past credit card transactions with verified fraud transactions and identified whether the new transactions are fraud.
• Utilized Python and Jupyter notebook for visualization and analysis.
• Utilized Isolation Forest Algorithm and Local Outlier Factor (LOF) Algorithm to achieve 99.4% accuracy using Isolation Forest while achieving 99.65% accuracy with LOF.

Data Source: https://www.kaggle.com/mlg-ulb/creditcardfraud