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[] PentesterAcademy - Data Science and Machine Learning for Infosec - [FCO]

  • 收录时间:2020-07-26 00:18:14
  • 文件大小:20GB
  • 下载次数:45
  • 最近下载:2021-01-22 09:40:08
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文件列表

  1. 8.3 - Module 8- Decision Trees Part 3 .mp4 908MB
  2. 1.3 - Module 1- Pandas Part 3 .mp4 865MB
  3. 9.3 - Module 9- Ensembling Techniques Part 3.mp4 733MB
  4. 13.3 - Module 13- Neural Networks - Deep Learning Part 3.mp4 719MB
  5. 10.3 - Module 10- Dimension Reduction Part 3.mp4 688MB
  6. 12.3 - Module 12- Stochastic Gradient Descent Part 3.mp4 655MB
  7. 1.4 - Module 1 Pandas Part 4 .mp4 600MB
  8. 8.2 - Module 8- Decision Trees Part 2 .mp4 579MB
  9. 11.1 - Module 11- Clustering Part 1.mp4 561MB
  10. 1.2 - Module 1- Pandas Part 2 .mp4 544MB
  11. 2.3 - Module 2- K Nearest Neighbors (KNN) Part 3.mp4 519MB
  12. 14.1 - Module 14- Recommendations Engine Part 1.mp4 498MB
  13. 1.1 - Module 1- Pandas Part 1.mp4 491MB
  14. 8.1 - Module 8- Decision Trees Part 1 .mp4 460MB
  15. 9.4 - Module 9- Ensembling Techniques Part 4.mp4 444MB
  16. Case Study- Detecting Malicious URLs.mp4 442MB
  17. 12.1 - Module 12- Stochastic Gradient Descent Part 1.mp4 439MB
  18. 9.1 - Module 9- Ensembling Techniques Part 1.mp4 432MB
  19. 3.2 - Module 3- Model Evaluation and Linear Regression Part 2.mp4 424MB
  20. 3.4 - Module 3- Model Evaluation and Linear Regression Part 4.mp4 423MB
  21. 7.1 - Module 7- Advanced Scikit Learn Part 1.mp4 417MB
  22. 2.1 - Module 2- K Nearest Neighbors (KNN) Part 1 .mp4 407MB
  23. 9.2 - Module 9- Ensembling Techniques Part 2.mp4 403MB
  24. 2.2 - Module 2- K Nearest Neighbors (KNN) Part 2.mp4 398MB
  25. 5.1 - Module 5- Natural Language Processing Part 1.mp4 398MB
  26. 10.2 - Module 10- Dimension Reduction Part 2.mp4 395MB
  27. 14.2 - Module 14- Recommendations Engine Part 2.mp4 386MB
  28. 5.4 - Module 5- Natural Language Processing Part 4.mp4 381MB
  29. 12.2 - Module 12- Stochastic Gradient Descent Part 2 .mp4 378MB
  30. 11.2 - Module 11- Clustering Part 2.mp4 367MB
  31. 7.2 - Module 7- Advanced Scikit Learn Part 2 .mp4 363MB
  32. 10.1 - Module 10- Dimension Reduction Part 1.mp4 354MB
  33. 4.4 - Module 4- Logistic Regression Part 4 .mp4 344MB
  34. 13.1 - Module 13- Neural Networks - Deep Learning Part 1.mp4 336MB
  35. 11.3 - Module 11- Clustering Part 3.mp4 330MB
  36. 13.2 - Module 13- Neural Networks - Deep Learning Part 2.mp4 314MB
  37. 3.3 - Module 3- Model Evaluation and Linear Regression Part 3.mp4 313MB
  38. 2.4 - Module 2- K Nearest Neighbors (KNN) Part 4.mp4 308MB
  39. 6.4 - Module 6- Naive Bayes Classification Part 4.mp4 306MB
  40. 5.2 - Module 5- Natural Language Processing Part 2.mp4 305MB
  41. 3.1 - Module 3- Model Evaluation and Linear Regression Part 1.mp4 295MB
  42. 6.2 - Module 6- Naive Bayes Classification Part 2.mp4 293MB
  43. 5.3 - Module 5- Natural Language Processing Part 3.mp4 291MB
  44. 4.3 - Module 4- Logistic Regression Part 3.mp4 290MB
  45. 4.1 - Module 4- Logistic Regression Part 1 .mp4 284MB
  46. 6.3 - Module 6- Naive Bayes Classification Part 3.mp4 251MB
  47. 6.1 - Module 6- Naive Bayes Classification Part 1.mp4 212MB
  48. 4.2 - Module 4- Logistic Regression Part 2.mp4 200MB
  49. 1 - Lab Setup and Installation.mp4 118MB
  50. data.zip 100MB
  51. 1 - Data Science and Machine Learning for Infosec- COURSE INTRODUCTION.MP4 16MB
  52. code.zip 8MB
  53. Discuss.FreeTutorials.Us.html 166KB
  54. FreeCoursesOnline.Me.html 108KB
  55. FreeTutorials.Eu.html 102KB
  56. urls file.rar 5KB
  57. [TGx]Downloaded from torrentgalaxy.org.txt 524B
  58. Torrent Downloaded From GloDls.to.txt 84B
  59. Presented By SaM.txt 33B