本文主要向大家介绍了机器学习入门之开源DDos 机器学习思路求解的一些源码——TODO 待分析，通过具体的内容向大家展现，希望对大家学习机器学习入门有所帮助。

一些源码：
https://github.com/elbaulp/MafDet  System that aims to detect and mitigate DDoS attacks using Machine Learning techniques & SDN.
https://github.com/pavel-odintsov/fastnetmon FastNetMon - very fast DDoS analyzer with sflow/netflow/mirror support https://fastnetmon.org
https://github.com/equalitie/learn2ban Open source machine learning DDOS detection tool
https://github.com/eraclitux/machine-learning-netflow Ipython notebook that illustrates effectiveness of machine learning algorithms in anomaly detection of netflow data (inbound/outbound DDoS, etc...)
https://github.com/jeff1evesque/machine-learning Web-interface, and programmatic API for classification and regression predictions
https://github.com/blackfist/ddos-ml use machine learning to identify articles about denial of service
https://github.com/ftramer/Steal-ML  Model extraction attacks on Machine-Learning-as-a-Service platforms.

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