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Cybersecurity Data Science

1. Course introduction
2. Downloading and installing virtual box and windows image
3. Obtaining a malware dataset
4. Obtaining a benign dataset
5. Static and dynamic analysis
6. Pe file background recording
7. Pefile
8. Dumping using pefile
9. Tfidf
10. Train test split
11. Training a classifier
12. Class weights
13. Thresholding
14. N gram background
15. Hash grams
16. Ngram classifier
17. Malconv
18. Section 1 end
19. Kdd cup dataset
20. Isolation forest
21. Section 2 end
22. Really simple captcha
23. Captcha preprocessing
24. CAPTCHA recognizer
25. Course end

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