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Data Science and ML Course Lab

pa-data-science-ml | Level: Easy  | Total Lab Runs: 0 | Premium Lab

Lab Scoreboard

This exercise is a companion lab for the Data Science and Machine Learning for Infosec course on Pentester Academy.  This lab can be used along with the following videos from the course:

  1. Module 1: Pandas Part 1
  2. Module 1: Pandas Part 2
  3. Module 1: Pandas Part 3
  4. Module 1: Pandas Part 4
  5. Module 2: K Nearest Neighbors (KNN) Part 1
  6. Module 2: K Nearest Neighbors (KNN) Part 2
  7. Module 2: K Nearest Neighbors (KNN) Part 3
  8. Module 2: K Nearest Neighbors (KNN) Part 4
  9. Module 3: Model Evaluation and Linear Regression Part 1
  10. Module 3: Model Evaluation and Linear Regression Part 2
  11. Module 3: Model Evaluation and Linear Regression Part 3
  12. Module 3: Model Evaluation and Linear Regression Part 4
  13. Module 4: Logistic Regression Part 1
  14. Module 4: Logistic Regression Part 2
  15. Module 4: Logistic Regression Part 3
  16. Module 4: Logistic Regression Part 4
  17. Module 5: Natural Language Processing Part 1
  18. Module 5: Natural Language Processing Part 2
  19. Module 5: Natural Language Processing Part 3
  20. Module 5: Natural Language Processing Part 4
  21. Module 6: Naive Bayes Classification Part 1
  22. Module 6: Naive Bayes Classification Part 2
  23. Module 6: Naive Bayes Classification Part 3
  24. Module 6: Naive Bayes Classification Part 4
  25. Module 7: Advanced Scikit Learn Part 1
  26. Module 7: Advanced Scikit Learn Part 2
  27. Module 8: Decision Trees Part 1
  28. Module 8: Decision Trees Part 2
  29. Module 8: Decision Trees Part 3
  30. Module 9: Ensembling Techniques Part 1
  31. Module 9: Ensembling Techniques Part 2
  32. Module 9: Ensembling Techniques Part 3
  33. Module 9: Ensembling Techniques Part 4
  34. Module 10: Dimension Reduction Part 1
  35. Module 10: Dimension Reduction Part 2
  36. Module 10: Dimension Reduction Part 3
  37. Module 11: Clustering Part 1
  38. Module 11: Clustering Part 2
  39. Module 11: Clustering Part 3
  40. Module 12: Stochastic Gradient Descent Part 1
  41. Module 12: Stochastic Gradient Descent Part 2
  42. Module 12: Stochastic Gradient Descent Part 3
  43. Module 13: Neural Networks - Deep Learning Part 1
  44. Module 13: Neural Networks - Deep Learning Part 2
  45. Module 13: Neural Networks - Deep Learning Part 3
  46. Module 14: Recommendations Engine Part 1
  47. Module 14: Recommendations Engine Part 2

The following activities are strictly prohibited on this website unless otherwise explicitly stated as allowed in the mission statement:

  • Using automated scanners
  • Using brute force attacks
  • Denial of Service attacks
  • Attacking other student machines in challenges where you might achieve a shell on the vulnerable system
  • Attacking the lab infrastructure

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Technical Support for this Lab:

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