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

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

Torrent:	Udemy - Bayesian Machine Learning in Python - A - B Testing
Description:	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
Downloads:	72
Category:	Other /Tutorials
Size:	2.6 GB
Show 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 files
Added:	2026-05-14 17:38:31
Language:	English
Peers:	Seeders : 27 , Leechers : 16
Tags:	Development Data Science A/B Testing Udemy
Release name:	Udemy - Bayesian Machine Learning in Python - A - B Testing
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