Credit-Card-Default The project is a classfication use case where the aim is to predict credit card default.
This notebook discusses about the whole data science project cycle involving EDA, visualizations, feature engineering, feature selection, model building.
Data source: Kaggle: https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud
We will be analyzing cardholders’ past data and history to predict default. If one is able to predict default even a month before its' occurrence, significant revenue savings can be made