Rename README.md to Fraud detection #1
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To explore the Enron email dataset for fraud detection: 1. **Understand the Dataset**: Analyze the structure of approximately 500,000 emails from Enron's senior management. 2. **Preprocess the Data**: Clean the text, tokenize, and normalize it to focus on meaningful content. 3. **Feature Extraction**: Identify fraud-related keywords, use Named Entity Recognition (NER) to find relevant entities, and apply topic modeling to uncover hidden patterns that might indicate fraudulent activities.
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To explore the Enron email dataset for fraud detection: