Credit-Card-Fraud-Detection
Problem
A Fraud Detection System using transaction history of book store. The vast majority of users will not be Fraudulent, making it harder for us to detect the Underlying Patterns in the information available
Model Used
Decision Tree Classifier and Random Forest Classifier Also, we have used CNN (Deep Learning) to make the same model, and to compensate for the Highly Unbalanced Dataset, we have also used Under-Sampling and Over-Sampling.
Libraries Used
- Pandas
- Numpy
- Matplotlib
- Seaborn
- Scikit Learn
- Keras