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

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

Torrent Contents Size: 2.6 GB

Udemy - Bayesian Machine Learning in Python - A - B Testing
Bonus Resources.txt
TXT
102.4 B
Get Bonus Downloads Here.url
URL
204.8 B
~Get Your Files Here !
1 - Introduction and Outline
1. What's this course all about.en_US.srt
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5.2 KB
1. What's this course all about.mp4
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18.2 MB
10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)
11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)
12 - Appendix FAQ Finale
2 - The High-Level Picture
3 - Bayes Rule and Probability Review
10. The Monty Hall Problem.en_US.srt
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8.4 KB
10. The Monty Hall Problem.mp4
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15.8 MB
11. Maximum Likelihood Estimation - Bernoulli.en_US.srt
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12.9 KB
11. Maximum Likelihood Estimation - Bernoulli.mp4
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24.4 MB
12. Click-Through Rates (CTR).en_US.srt
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2.3 KB
12. Click-Through Rates (CTR).mp4
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5.2 MB
13. Maximum Likelihood Estimation - Gaussian (pt 1).en_US.srt
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11.4 KB
13. Maximum Likelihood Estimation - Gaussian (pt 1).mp4
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22.9 MB
14. Maximum Likelihood Estimation - Gaussian (pt 2).en_US.srt
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9.2 KB
14. Maximum Likelihood Estimation - Gaussian (pt 2).mp4
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18 MB
15. CDFs and Percentiles.en_US.srt
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10.1 KB
15. CDFs and Percentiles.mp4
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21.9 MB
16. Probability Review in Code.en_US.srt
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11.3 KB
16. Probability Review in Code.mp4
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33 MB
17. Probability Review Section Summary.en_US.srt
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6.4 KB
17. Probability Review Section Summary.mp4
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13.7 MB
18. Remedial Statistics vs Machine Learning.en_US.srt
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8.2 KB
18. Remedial Statistics vs Machine Learning.mp4
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19.8 MB
19. Suggestion Box.en_US.srt
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4.1 KB
19. Suggestion Box.mp4
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39.9 MB
4 - Traditional A B Testing
20. Confidence Intervals (pt 1) - Intuition.en_US.srt
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5.5 KB
20. Confidence Intervals (pt 1) - Intuition.mp4
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12.8 MB
21. Confidence Intervals (pt 2) - Beginner Level.en_US.srt
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5.2 KB
21. Confidence Intervals (pt 2) - Beginner Level.mp4
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11.9 MB
22. Confidence Intervals (pt 3) - Intermediate Level.en_US.srt
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11.3 KB
22. Confidence Intervals (pt 3) - Intermediate Level.mp4
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21.5 MB
23. Confidence Intervals (pt 4) - Intermediate Level.en_US.srt
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12.1 KB
23. Confidence Intervals (pt 4) - Intermediate Level.mp4
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25.8 MB
24. Confidence Intervals (pt 5) - Intermediate Level.en_US.srt
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10.8 KB
24. Confidence Intervals (pt 5) - Intermediate Level.mp4
MP4
22.8 MB
25. Colab Notebook.url
URL
102.4 B
25. Confidence Intervals Code.en_US.srt
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6.5 KB
25. Confidence Intervals Code.mp4
MP4
28.8 MB
26. Hypothesis Testing - Examples.en_US.srt
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8.4 KB
26. Hypothesis Testing - Examples.mp4
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18.4 MB
27. Statistical Significance.en_US.srt
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6.2 KB
27. Statistical Significance.mp4
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12.9 MB
28. Hypothesis Testing - The API Approach.en_US.srt
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10.3 KB
28. Hypothesis Testing - The API Approach.mp4
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26 MB
29. Hypothesis Testing - Accept Or Reject.en_US.srt
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2.6 KB
29. Hypothesis Testing - Accept Or Reject.mp4
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6.9 MB
30. Hypothesis Testing - Further Examples.en_US.srt
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5.7 KB
30. Hypothesis Testing - Further Examples.mp4
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13.6 MB
31. Z-Test Theory (pt 1).en_US.srt
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9.2 KB
31. Z-Test Theory (pt 1).mp4
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20.8 MB
32. Z-Test Theory (pt 2).en_US.srt
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9 KB
32. Z-Test Theory (pt 2).mp4
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16.9 MB
33. Colab Notebook.url
URL
102.4 B
33. Z-Test Code (pt 1).en_US.srt
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13.9 KB
33. Z-Test Code (pt 1).mp4
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84 MB
34. Z-Test Code (pt 2).en_US.srt
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5.7 KB
34. Z-Test Code (pt 2).mp4
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34.2 MB
35. A B Test Exercise.en_US.srt
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4.5 KB
35. A B Test Exercise.mp4
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8.6 MB
36. Classical A B Testing Section Summary.en_US.srt
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11.5 KB
36. Classical A B Testing Section Summary.mp4
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25.4 MB
5 - Bayesian A B Testing
37. Section Introduction The Explore-Exploit Dilemma.en_US.srt
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11.9 KB
37. Section Introduction The Explore-Exploit Dilemma.mp4
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28.1 MB
38. Applications of the Explore-Exploit Dilemma.en_US.srt
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9.3 KB
38. Applications of the Explore-Exploit Dilemma.mp4
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25.6 MB
39. Epsilon-Greedy Theory.en_US.srt
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8.3 KB
39. Epsilon-Greedy Theory.mp4
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16.3 MB
40. Calculating a Sample Mean (pt 1).en_US.srt
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6.7 KB
40. Calculating a Sample Mean (pt 1).mp4
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12.9 MB
41. Epsilon-Greedy Beginner's Exercise Prompt.en_US.srt
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5.7 KB
41. Epsilon-Greedy Beginner's Exercise Prompt.mp4
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20.4 MB
42. Designing Your Bandit Program.en_US.srt
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4.9 KB
42. Designing Your Bandit Program.mp4
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16.4 MB
43. Epsilon-Greedy in Code.en_US.srt
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7.5 KB
43. Epsilon-Greedy in Code.mp4
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30.7 MB
44. Comparing Different Epsilons.en_US.srt
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5.9 KB
44. Comparing Different Epsilons.mp4
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29.9 MB
45. Optimistic Initial Values Theory.en_US.srt
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6.4 KB
45. Optimistic Initial Values Theory.mp4
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13.3 MB
46. Optimistic Initial Values Beginner's Exercise Prompt.en_US.srt
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2.6 KB
46. Optimistic Initial Values Beginner's Exercise Prompt.mp4
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9.5 MB
47. Optimistic Initial Values Code.en_US.srt
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4.5 KB
47. Optimistic Initial Values Code.mp4
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14.6 MB
48. UCB1 Theory.en_US.srt
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48. UCB1 Theory.mp4
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32.7 MB
49. UCB1 Beginner's Exercise Prompt.en_US.srt
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2.4 KB
49. UCB1 Beginner's Exercise Prompt.mp4
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7.4 MB
50. UCB1 Code.en_US.srt
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3.4 KB
50. UCB1 Code.mp4
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14.9 MB
51. Bayesian Bandits Thompson Sampling Theory (pt 1).en_US.srt
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15.1 KB
51. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4
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31.9 MB
52. Bayesian Bandits Thompson Sampling Theory (pt 2).en_US.srt
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20.7 KB
52. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4
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42.8 MB
53. Thompson Sampling Beginner's Exercise Prompt.en_US.srt
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3.1 KB
53. Thompson Sampling Beginner's Exercise Prompt.mp4
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15.7 MB
54. Thompson Sampling Code.en_US.srt
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5 KB
54. Thompson Sampling Code.mp4
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25.8 MB
55. Thompson Sampling With Gaussian Reward Theory.en_US.srt
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13.3 KB
55. Thompson Sampling With Gaussian Reward Theory.mp4
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54.1 MB
56. Thompson Sampling With Gaussian Reward Code.en_US.srt
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6.5 KB
56. Thompson Sampling With Gaussian Reward Code.mp4
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35.2 MB
57. Exercise on Gaussian Rewards.en_US.srt
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1.4 KB
57. Exercise on Gaussian Rewards.mp4
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3.9 MB
58. Why don't we just use a library.en_US.srt
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6.8 KB
58. Why don't we just use a library.mp4
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15.6 MB
59. Nonstationary Bandits.en_US.srt
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8.6 KB
59. Nonstationary Bandits.mp4
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17.8 MB
6 - Bayesian A B Testing Extension
62. More about the Explore-Exploit Dilemma.en_US.srt
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8.8 KB
62. More about the Explore-Exploit Dilemma.mp4
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25.3 MB
63. Confidence Interval Approximation vs. Beta Posterior.en_US.srt
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4.3 KB
63. Confidence Interval Approximation vs. Beta Posterior.mp4
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17.5 MB
64. Adaptive Ad Server Exercise.en_US.srt
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6.6 KB
64. Adaptive Ad Server Exercise.mp4
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11.1 MB
7 - Practice Makes Perfect
1. Bayes Rule & Probability Review Quiz.html
HTML
19.5 KB
2. Traditional A B Testing Quiz.html
HTML
19.9 KB
3. Adaptive Methods Quiz.html
HTML
22.5 KB
65. Intro to Exercises on Conjugate Priors.en_US.srt
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65. Intro to Exercises on Conjugate Priors.mp4
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16.9 MB
66. Exercise Die Roll.en_US.srt
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66. Exercise Die Roll.mp4
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6 MB
67. The most important quiz of all - Obtaining an infinite amount of practice.en_US.srt
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67. The most important quiz of all - Obtaining an infinite amount of practice.mp4
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52.5 MB
8 - Appendix FAQ Intro
68. What is the Appendix.en_US.srt
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68. What is the Appendix.mp4
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15.5 MB
9 - Setting Up Your Environment (FAQ by Student Request)
69. Pre-Installation Check.en_US.srt
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5.7 KB
69. Pre-Installation Check.mp4
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13.1 MB
70. Anaconda Environment Setup.en_US.srt
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17.7 KB
70. Anaconda Environment Setup.mp4
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309.1 MB
71. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.en_US.srt
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13.4 KB
71. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
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192.3 MB
60. Bandit Summary, Real Data, and Online Learning.en_US.srt
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7.5 KB
60. Bandit Summary, Real Data, and Online Learning.mp4
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17.1 MB
61. (Optional) Alternative Bandit Designs.en_US.srt
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12.9 KB
61. (Optional) Alternative Bandit Designs.mp4
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34.1 MB
6. Review Section Introduction.en_US.srt
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1.5 KB
6. Review Section Introduction.mp4
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3.5 MB
7. Probability and Bayes' Rule Review.en_US.srt
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5.8 KB
7. Probability and Bayes' Rule Review.mp4
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11.8 MB
8. Calculating Probabilities - Practice.en_US.srt
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11.5 KB
8. Calculating Probabilities - Practice.mp4
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28.1 MB
9. The Gambler.en_US.srt
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9. The Gambler.mp4
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15 MB
4. Real-World Examples of A B Testing.en_US.srt
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4. Real-World Examples of A B Testing.mp4
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20 MB
5. What is Bayesian Machine Learning.en_US.srt
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5. What is Bayesian Machine Learning.mp4
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30.7 MB
80. BONUS.en_US.srt
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80. BONUS.mp4
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58.4 MB
76. How to Succeed in this Course (Long Version).en_US.srt
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13.1 KB
76. How to Succeed in this Course (Long Version).mp4
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23.8 MB
77. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.en_US.srt
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28.3 KB
77. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
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60.5 MB
78. Machine Learning and AI Prerequisite Roadmap (pt 1).en_US.srt
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14.6 KB
78. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4
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118.8 MB
79. Machine Learning and AI Prerequisite Roadmap (pt 2).en_US.srt
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20.9 KB
79. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4
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136.6 MB
72. How to Code by Yourself (part 1).en_US.srt
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20 KB
72. How to Code by Yourself (part 1).mp4
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93.7 MB
73. How to Code by Yourself (part 2).en_US.srt
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11.7 KB
73. How to Code by Yourself (part 2).mp4
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29.4 MB
74. Proof that using Jupyter Notebook is the same as not using it.en_US.srt
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12.7 KB
74. Proof that using Jupyter Notebook is the same as not using it.mp4
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108.7 MB
75. Python 2 vs Python 3.en_US.srt
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5.5 KB
75. Python 2 vs Python 3.mp4
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10.5 MB
2. Github Link.url
URL
102.4 B
2. Where to get the code for this course.en_US.srt
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14.9 KB
2. Where to get the code for this course.mp4
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75.1 MB
3. How to succeed in this course.en_US.srt
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3.9 KB
3. How to succeed in this course.mp4
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9 MB

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