CREDIT CARD FRAUD DETECTION

Use a dataset containing transaction data to detect fraudulent transactions.

This project is a part of my machine learning virtual internship at TechnoHacks Edutech

Dataset Information

This dataset presents transactions that occurred in two days, where we have 492 frauds out of 284,807 transactions. The dataset is highly unbalanced, the positive class (frauds) account for 0.172% of all transactions.

Dataset Link

Algorithms

• Logistic Regression
• Decision Tree Classifier
• Random Forest Classifier
• Support Vector machine

Best Model Accuracy : 95.43