Credit Card Fraud Detection

Using a dataset of of nearly 28,500 credit card transactions, we are going to identify transactions with high probability of being fraudlent

Key Learnings

• Use of PCA Dimensionality Reduction to protect sensitive information
• Outlier Detection using Isolation Forest & Local Outlier Factor
• Analysis of predicted results using classification report and accuracy score

Libraries Used

• numpy
• pandas
• matplotlib
• seaborn
• scipy
• sklearn