HSDC-CreditCardFraudDetection

This project uses python and machine learning to build models that will be able to detect any credit card abnormalities or fraudulent activities. This project is carried out by Team Vispy of Hamoye Internship HSDC 2021.

Steps:

1. Import libraries
2. Import dataset
3. Perform data analysis (data cleaning, data manipulation, data visualization, EDA)
4. Data processing (feature engineering and selection)
5. Split the dataset
6. Model selection
7. Train the model
8. Test the model
9. Performance evaluation