This is a credit card fraud detection model using logistic regression. The model achieved an accuracy score of 0.9441707717569786 on the training data and an accuracy score of 0.954248366013072 on the test data.

Dataset The dataset used for this model is from Kaggle and can be found here.[https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud?resource=download]

Dependencies This model was created using the following dependencies:

Python 3.x pandas numpy scikit-learn