Pentester Academy - Data Science and Machine Learning for Infosec [DOWNLOAD]
by anrbn2 - October 18, 2020 at 11:06 AM
#1
Hey Wssup Y'all been away for a while, but back again with a new course I found, idk why no one posted it yet here.

Anyway the course is:

Pentester Academy - Data Science and Machine Learning for Infosec  

Course Contents:

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

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#2
Is no one interested in this course? :(
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#3
Thanks for sharing bro, will try it out
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#4
Thanks for sharing bro....
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#5
Learning is fun! Education is great.
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#6
very good tutorial - thank you Smile
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#7
Thanks for the share....
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#8
danke schon mah man greatly helped
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#9
(October 18, 2020 at 03:18 PM)anrbn2 Wrote: Is no one interested in this course? :(

only 2 seeders, any link other than torrent?
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#10
Thanks for sharing bro, will check it
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#11
(October 18, 2020 at 11:06 AM)anrbn2 Wrote: Hey Wssup Y'all been away for a while, but back again with a new course I found, idk why no one posted it yet here.

Anyway the course is:

Pentester Academy - Data Science and Machine Learning for Infosec  

Course Contents:

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

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#12
Some machine learning stuff. Thank you mate.
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