The aim of this project is to detect credit-card fraud transactions using two machine learning models. The two ML models used are :
- Support VectorClassifier(SVC)
- Logistic Regression
Accuracy scores for both the models on test data are: -SVC = 0.883248730964467 -Logistic = 0.9289340101522843
The dataset used in the project can be found from here : https://www.kaggle.com/mlg-ulb/creditcardfraud