Udemy - Bayesian Machine Learning in Python - A - B Testing

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size2.6 GB
  • Uploaded Byfreecoursewb
  • Downloads72
  • Last checkedMay. 15th '26
  • Date uploadedMay. 14th '26
  • Seeders 27
  • Leechers16

Infohash : D7E4A6AD295084C76857FC5D6F27D09DD3BB73FE

Bayesian Machine Learning in Python: A/B Testing

https://WebToolTip.com

Last updated 2/2026
Created by Lazy Programmer Inc., Lazy Programmer Team
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English + subtitle | Duration: 80 Lectures ( 10h 26m ) | Size: 2.62 GB

Data Science, Machine Learning, and Data Analytics Techniques for Marketing, Digital Media, Online Advertising, and More

What you'll learn
⚡ Use adaptive algorithms to improve A/B testing performance
⚡ Understand the difference between Bayesian and frequentist statistics
⚡ Apply Bayesian methods to A/B testing

Requirements
❗ Probability (joint, marginal, conditional distributions, continuous and discrete random variables, PDF, PMF, CDF)
❗ Python coding with the Numpy stack

Files:

[ WebToolTip.com ] Udemy - Bayesian Machine Learning in Python - A - B Testing
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction and Outline
    • 1. What's this course all about.en_US.srt (5.2 KB)
    • 1. What's this course all about.mp4 (18.2 MB)
    • 2. Github Link.url (0.1 KB)
    • 2. Where to get the code for this course.en_US.srt (14.9 KB)
    • 2. Where to get the code for this course.mp4 (75.1 MB)
    • 3. How to succeed in this course.en_US.srt (3.9 KB)
    • 3. How to succeed in this course.mp4 (9.0 MB)
    10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)
    • 72. How to Code by Yourself (part 1).en_US.srt (20.0 KB)
    • 72. How to Code by Yourself (part 1).mp4 (93.7 MB)
    • 73. How to Code by Yourself (part 2).en_US.srt (11.7 KB)
    • 73. How to Code by Yourself (part 2).mp4 (29.4 MB)
    • 74. Proof that using Jupyter Notebook is the same as not using it.en_US.srt (12.7 KB)
    • 74. Proof that using Jupyter Notebook is the same as not using it.mp4 (108.7 MB)
    • 75. Python 2 vs Python 3.en_US.srt (5.5 KB)
    • 75. Python 2 vs Python 3.mp4 (10.5 MB)
    11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)
    • 76. How to Succeed in this Course (Long Version).en_US.srt (13.1 KB)
    • 76. How to Succeed in this Course (Long Version).mp4 (23.8 MB)
    • 77. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.en_US.srt (28.3 KB)
    • 77. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 (60.5 MB)
    • 78. Machine Learning and AI Prerequisite Roadmap (pt 1).en_US.srt (14.6 KB)
    • 78. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 (118.8 MB)
    • 79. Machine Learning and AI Prerequisite Roadmap (pt 2).en_US.srt (20.9 KB)
    • 79. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 (136.6 MB)
    12 - Appendix FAQ Finale
    • 80. BONUS.en_US.srt (7.8 KB)
    • 80. BONUS.mp4 (58.4 MB)
    2 - The High-Level Picture
    • 4. Real-World Examples of A B Testing.en_US.srt (8.4 KB)
    • 4. Real-World Examples of A B Testing.mp4 (20.0 MB)
    • 5. What is Bayesian Machine Learning.en_US.srt (13.9 KB)
    • 5. What is Bayesian Machine Learning.mp4 (30.7 MB)
    3 - Bayes Rule and Probability Review
    • 10. The Monty Hall Problem.en_US.srt (8.4 KB)
    • 10. The Monty Hall Problem.mp4 (15.8 MB)
    • 11. Maximum Likelihood Estimation - Bernoulli.en_US.srt (12.9 KB)
    • 11. Maximum Likelihood Estimation - Bernoulli.mp4 (24.4 MB)
    • 12. Click-Through Rates (CTR).en_US.srt (2.3 KB)
    • 12. Click-Through Rates (CTR).mp4 (5.2 MB)
    • 13. Maximum Likelihood Estimation - Gaussian (pt 1).en_US.srt (11.4 KB)
    • 13. Maximum Likelihood Estimation - Gaussian (pt 1).mp4 (22.9 MB)
    • 14. Maximum Likelihood Estimation - Gaussian (pt 2).en_US.srt (9.2 KB)
    • 14. Maximum Likelihood Estimation - Gaussian (pt 2).mp4 (18.0 MB)
    • 15. CDFs and Percentiles.en_US.srt (10.1 KB)
    • 15. CDFs and Percentiles.mp4 (21.9 MB)
    • 16. Probability Review in Code.en_US.srt (11.3 KB)
    • 16. Probability Review in Code.mp4 (33.0 MB)
    • 17. Probability Review Section Summary.en_US.srt (6.4 KB)
    • 17. Probability Review Section Summary.mp4 (13.7 MB)
    • 18. Remedial Statistics vs Machine Learning.en_US.srt (8.2 KB)
    • 18. Remedial Statistics vs Machine Learning.mp4 (19.8 MB)
    • 19. Suggestion Box.en_US.srt (4.1 KB)
    • 19. Suggestion Box.mp4 (39.9 MB)
    • 6. Review Section Introduction.en_US.srt (1.5 KB)
    • 6. Review Section Introduction.mp4 (3.5 MB)
    • 7. Probability and Bayes' Rule Review.en_US.srt (5.8 KB)
    • 7. Probability and Bayes' Rule Review.mp4 (11.8 MB)
    • 8. Calculating Probabilities - Practice.en_US.srt (11.5 KB)
    • 8. Calculating Probabilities - Practice.mp4 (28.1 MB)
    • 9. The Gambler.en_US.srt (6.5 KB)
    • 9. The Gambler.mp4 (15.0 MB)
    4 - Traditional A B Testing
    • 20. Confidence Intervals (pt 1) - Intuition.en_US.srt (5.5 KB)
    • 20. Confidence Intervals (pt 1) - Intuition.mp4 (12.8 MB)
    • 21. Confidence Intervals (pt 2) - Beginner Level.en_US.srt (5.2 KB)
    • 21. Confidence Intervals (pt 2) - Beginner Level.mp4 (11.9 MB)
    • 22. Confidence Intervals (pt 3) - Intermediate Level.en_US.srt (11.3 KB)
    • 22. Confidence Intervals (pt 3) - Intermediate Level.mp4 (21.5 MB)
    • 23. Confidence Intervals (pt 4) - Intermediate Level.en_US.srt (12.1 KB)
    • 23. Confidence Intervals (pt 4) - Intermediate Level.mp4 (25.8 MB)
    • 24. Confidence Intervals (pt 5) - Intermediate Level.en_US.srt (10.8 KB)
    • 24. Confidence Intervals (pt 5) - Intermediate Level.mp4 (22.8 MB)
    • 25. Colab Notebook.url (0.1 KB)
    • 25. Confidence Intervals Code.en_US.srt (6.5 KB)
    • 25. Confidence Intervals Code.mp4 (28.8 MB)
    • 26. Hypothesis Testing - Examples.en_US.srt (8.4 KB)
    • 26. Hypothesis Testing - Examples.mp4 (18.4 MB)
    • 27. Statistical Significance.en_US.srt (6.2 KB)
    • 27. Statistical Significance.mp4 (12.9 MB)
    • 28. Hypothesis Testing - The API Approach.en_US.srt (10.3 KB)
    • 28. Hypothesis Testing - The API Approach.mp4 (26.0 MB)
    • 29. Hypothesis Testing - Accept Or Reject.en_US.srt (2.6 KB)
    • 29. Hypothesis Testing - Accept Or Reject.mp4 (6.9 MB)
    • 30. Hypothesis Testing - Further Examples.en_US.srt (5.7 KB)
    • 30. Hypothesis Testing - Further Examples.mp4 (13.6 MB)
    • 31. Z-Test Theory (pt 1).en_US.srt (9.2 KB)
    • 31. Z-Test Theory (pt 1).mp4 (20.8 MB)
    • 32. Z-Test Theory (pt 2).en_US.srt (9.0 KB)
    • 32. Z-Test Theory (pt 2).mp4 (16.9 MB)
    • 33. Colab Notebook.url (0.1 KB)
    • 33. Z-Test Code (pt 1).en_US.srt (13.9 KB)
    • 33. Z-Test Code (pt 1).mp4 (84.0 MB)
    • 34. Z-Test Code (pt 2).en_US.srt (5.7 KB)
    • 34. Z-Test Code (pt 2).mp4 (34.2 MB)
    • 35. A B Test Exercise.en_US.srt (4.5 KB)
    • 35. A B Test Exercise.mp4 (8.6 MB)
    • 36. Classical A B Testing Section Summary.en_US.srt (11.5 KB)
    • 36. Classical A B Testing Section Summary.mp4 (25.4 MB)
    5 - Bayesian A B T

Code:

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