vinayakumarr/maching-learning-CDAC-Technopark

Maching learning workshop at CDAC, Technopark, Thiruvananthapuram

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This project contains resources from a machine learning workshop focused on practical applications for cybersecurity. It provides code examples and materials that help security analysts understand and implement techniques for detecting various digital threats, taking raw network or image data and producing classifications like 'botnet' or 'spam'. This would be used by cybersecurity professionals, network administrators, or researchers looking to apply machine learning to threat detection.

No commits in the last 6 months.

Use this if you are a cybersecurity professional interested in applying machine learning to detect digital threats like botnets, intrusions, or malicious URLs.

Not ideal if you are looking for a general-purpose machine learning library or a tool for domains outside of cybersecurity threat detection.

cybersecurity threat-detection network-security malware-analysis intrusion-detection
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 17 / 25

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Jupyter Notebook

License

Last pushed

Jul 07, 2019

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