Add comprehensive README with Kaggle dataset link

[Copilot]

Created README for Credit Card Fraud Detection project with link to Kaggle dataset source.

Changes

• Dataset section: Added direct link to https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud with dataset statistics and feature descriptions
• Project structure: Documented standard ML project layout (data/, notebooks/, src/, models/)
• Technical stack: Listed Python ecosystem tools (Pandas, NumPy, Scikit-learn, Imbalanced-learn)
• Methodology: Outlined EDA, preprocessing, imbalanced data handling, and evaluation approach
• Standard sections: Installation, usage, contributing, and acknowledgments

The README positions this as an educational ML project for detecting fraudulent transactions in a highly imbalanced dataset (0.172% fraud rate).

Original prompt

create a readme file including link of kaggle data set https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud
as a credit Credit Card Fraud Detection prediction project

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