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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.

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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