Implementation of Credit Card fraud detection using LightGBM
The purpose of this project is to detect suspicious activities of users for credit card transactions. This is ML model that is trained using a Kaggle dataset. And it predicts whether the transaction is fraud or not.
- Anaconda
- Jupyter Notebook
- Python
This project is Credit Card Fraud detection using Light GBM. It is relatively new algorithm. Light GBM is the best fit for this kind of dataset. It is one of the best performing model if we use it’s parameters accordingly as it has faster training speed and very good accuracy.
The dataset for this is downloaded from kaggle.You can download from here