- Mastering Machine Learning for Penetration Testing
- Chiheb Chebbi
- 60字
- 2021-06-25 21:03:08
Technical requirements
In this chapter, we are going to use the following Python libraries:
- scikit-learn Python (≥ 2.7 or ≥ 3.3)
- NumPy (≥ 1.8.2)
- NLTK
If you have not installed them yet, please make sure that they are installed before moving forward with this chapter. You can find the code files at https://github.com/PacktPublishing/Mastering-Machine-Learning-for-Penetration-Testing/tree/master/Chapter02.
推薦閱讀
- 廣電5G從入門到精通
- 社交電商運營策略、技巧與實操
- Yii Application Development Cookbook(Second Edition)
- 物聯(lián)網(wǎng)技術(shù)與應(yīng)用
- 基于性能的保障理論與方法
- Building Web Applications with ArcGIS
- 網(wǎng)管工具使用與技巧大全
- Android UI Design
- 無線傳感器網(wǎng)絡(luò)定位技術(shù)
- 基于IPv6的家居物聯(lián)網(wǎng)開發(fā)與應(yīng)用技術(shù)
- 趣話通信:6G的前世、今生和未來
- Building Microservices with Spring
- 學(xué)術(shù)虛擬社區(qū)用戶社會化交互行為研究
- 網(wǎng)絡(luò)分析技術(shù)揭秘:原理、實踐與WinPcap深入解析
- 網(wǎng)絡(luò)信息編輯項目化實操教程(第2版)