shramos/practical-ml-for-cybersecurity

This project provides over twenty practical examples applying machine learning techniques to real-world cybersecurity challenges. It takes raw security data, such as email content, network traffic logs, or transaction records, and shows how to build models that output predictions for threats like spam, malware, or fraud. Security analysts, fraud investigators, and IT operations engineers can use these examples to understand and implement AI for threat detection and incident cost prediction.

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