Update README.md

Author: GhazalSadeghpour

Diff for: README.md

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-# Predicting-Credit-Card-Fraud-with-Logistic-Regression
-This is a codeacademy project from the 'Machine Learning/AI Engineer' path. The project is about predicting credit card fraud using Logistic Regression.
+# Predicting Credit Card Fraud with Logistic Regression
+
+## Overview
+This project, part of Codecademy's **Machine Learning/AI Engineer** path, predicts fraudulent credit card transactions using **Logistic Regression**.
+
+## Dataset & Features
+The dataset (`transactions_modified.csv`) includes transaction details like amount, type, and account balances. Key engineered features:
+- **isPayment**: 1 for DEBIT/PAYMENT, else 0
+- **isMovement**: 1 for CASH_OUT/TRANSFER, else 0
+- **accountDiff**: Difference between destination and origin balances
+
+## Model Training
+- **Data Split**: 70% training, 30% test
+- **Scaling**: StandardScaler normalizes features
+- **Classifier**: Logistic Regression
+- **Evaluation**: Model scores printed for training and test sets
+
+## Fraud Prediction
+After training, the model predicts fraud in new transactions:
+```python
+lr.predict(sample_transactions)
+lr.predict_proba(sample_transactions)
+```
+
+## Running the Code
+Run the script in Python:
+```bash
+python fraud_detection.py
+```
+
+## Future Improvements
+- Try other ML models (e.g., Random Forest, Neural Networks)
+- Tune hyperparameters
+- Address class imbalance
+
+## Author
+Codecademy Machine Learning/AI Engineer Path
+