Introduction, Data Source, and Project Goal
This project presents an Exploratory Data Analysis (EDA) and strategic data preparation for a credit card fraud detection dataset. The dataset, sourced from Kaggle, contains over 280,000 records. The primary challenge identified is extreme class imbalance, as less than 0.2% of transactions are fraudulent. The goal is to prepare the data for a classification model capable of predicting whether… See the full description on the dataset page:
https://huggingface.co/datasets/Raj6/Credit_Card_Fraud_Analysis_Project.
