Python-Machine-Learning-AI-implementation-in-Credit-Card-Scam-Detection

It analyzes the input and labels the output by proper detection, whether it's fraud or not fraud, according to the test dataset. Since it's a binary classification, logistic regression provided better results than that of the other classifiers.

AI implementation in Credit Card Scam Detection

Dataset Collection.

I used the open-source dataset available on Kaggle. Here is the link to the dataset: https://www.kaggle.com/mlg-ulb/creditcardfraud.

How to use the notebook.

1. Download the dataset from kaggle.
2. Clone the repository.
3. Run the notebook, and you will be able to see the results and visualize the data.
4. If you don't want to clone then you just simply run these codes and you can observe the desired result.