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

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2018-11-20 12:03 2024-12-23 10:33 413 20.37 GB 49
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文件列表
  1. 10.1 - Module 10- Dimension Reduction Part 1.mp4353.8MB
  2. 10.2 - Module 10- Dimension Reduction Part 2.mp4395.26MB
  3. 10.3 - Module 10- Dimension Reduction Part 3.mp4687.87MB
  4. 11.1 - Module 11- Clustering Part 1.mp4560.71MB
  5. 11.2 - Module 11- Clustering Part 2.mp4366.92MB
  6. 11.3 - Module 11- Clustering Part 3.mp4330.33MB
  7. 1.1 - Module 1- Pandas Part 1.mp4491.41MB
  8. 12.1 - Module 12- Stochastic Gradient Descent Part 1.mp4438.68MB
  9. 12.2 - Module 12- Stochastic Gradient Descent Part 2 .mp4377.58MB
  10. 12.3 - Module 12- Stochastic Gradient Descent Part 3.mp4655.04MB
  11. 1.2 - Module 1- Pandas Part 2 .mp4543.87MB
  12. 13.1 - Module 13- Neural Networks - Deep Learning Part 1.mp4336.32MB
  13. 13.2 - Module 13- Neural Networks - Deep Learning Part 2.mp4314.41MB
  14. 13.3 - Module 13- Neural Networks - Deep Learning Part 3.mp4719.27MB
  15. 1.3 - Module 1- Pandas Part 3 .mp4865.49MB
  16. 14.1 - Module 14- Recommendations Engine Part 1.mp4497.59MB
  17. 14.2 - Module 14- Recommendations Engine Part 2.mp4386.04MB
  18. 1.4 - Module 1 Pandas Part 4 .mp4599.74MB
  19. 1 - Lab Setup and Installation.mp4118.31MB
  20. 2.1 - Module 2- K Nearest Neighbors (KNN) Part 1 .mp4407.25MB
  21. 2.2 - Module 2- K Nearest Neighbors (KNN) Part 2.mp4397.97MB
  22. 2.3 - Module 2- K Nearest Neighbors (KNN) Part 3.mp4518.97MB
  23. 2.4 - Module 2- K Nearest Neighbors (KNN) Part 4.mp4308.01MB
  24. 3.1 - Module 3- Model Evaluation and Linear Regression Part 1.mp4294.54MB
  25. 3.2 - Module 3- Model Evaluation and Linear Regression Part 2.mp4424.5MB
  26. 3.3 - Module 3- Model Evaluation and Linear Regression Part 3.mp4313.49MB
  27. 3.4 - Module 3- Model Evaluation and Linear Regression Part 4.mp4422.8MB
  28. 4.1 - Module 4- Logistic Regression Part 1 .mp4283.91MB
  29. 4.2 - Module 4- Logistic Regression Part 2.mp4199.92MB
  30. 4.3 - Module 4- Logistic Regression Part 3.mp4289.5MB
  31. 4.4 - Module 4- Logistic Regression Part 4 .mp4344.08MB
  32. 5.1 - Module 5- Natural Language Processing Part 1.mp4397.74MB
  33. 5.2 - Module 5- Natural Language Processing Part 2.mp4305.26MB
  34. 5.3 - Module 5- Natural Language Processing Part 3.mp4290.9MB
  35. 5.4 - Module 5- Natural Language Processing Part 4.mp4381MB
  36. 6.1 - Module 6- Naive Bayes Classification Part 1.mp4212.39MB
  37. 6.2 - Module 6- Naive Bayes Classification Part 2.mp4293.36MB
  38. 6.3 - Module 6- Naive Bayes Classification Part 3.mp4250.79MB
  39. 6.4 - Module 6- Naive Bayes Classification Part 4.mp4306.43MB
  40. 7.1 - Module 7- Advanced Scikit Learn Part 1.mp4416.5MB
  41. 7.2 - Module 7- Advanced Scikit Learn Part 2 .mp4363.44MB
  42. 8.1 - Module 8- Decision Trees Part 1 .mp4460.28MB
  43. 8.2 - Module 8- Decision Trees Part 2 .mp4579.08MB
  44. 8.3 - Module 8- Decision Trees Part 3 .mp4908.32MB
  45. 9.1 - Module 9- Ensembling Techniques Part 1.mp4432.3MB
  46. 9.2 - Module 9- Ensembling Techniques Part 2.mp4403MB
  47. 9.3 - Module 9- Ensembling Techniques Part 3.mp4733.49MB
  48. 9.4 - Module 9- Ensembling Techniques Part 4.mp4443.79MB
  49. Case Study- Detecting Malicious URLs.mp4442.12MB
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