Cluster Analysis and Unsupervised Machine Learning in Python

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    • Files
    1. z.9781836649373_Code/ann_class2/__init__.py0 B
    2. z.9781836649373_Code/ann_logistic_extra/__init__.py0 B
    3. z.9781836649373_Code/hmm_class/__init__.py0 B
    4. z.9781836649373_Code/rnn_class/__init__.py0 B
    5. z.9781836649373_Code/unsupervised_class/__init__.py0 B
    6. z.9781836649373_Code/unsupervised_class2/__init__.py0 B
    7. Chapter 7 Setting Up Your Environment (Appendix)/002. Anaconda Environment Setup.mp466.43 MB
    8. Chapter 2 Getting Set Up/001. Where to get the code.mp49.89 MB
    9. Chapter 3 Unsupervised Learning/001. What is unsupervised learning used for.en.srt7.71 KB
    10. Chapter 3 Unsupervised Learning/001. What is unsupervised learning used for.mp412.49 MB
    11. Chapter 3 Unsupervised Learning/002. Why Use Clustering.en.srt12.85 KB
    12. Chapter 3 Unsupervised Learning/002. Why Use Clustering.mp421.26 MB
    13. Chapter 4 K-Means Clustering/001. An Easy Introduction to K-Means Clustering.en.srt10.04 KB
    14. Chapter 4 K-Means Clustering/001. An Easy Introduction to K-Means Clustering.mp417.58 MB
    15. Chapter 4 K-Means Clustering/002. Hard K-Means Exercise Prompt 1.en.srt12.36 KB
    16. Chapter 4 K-Means Clustering/002. Hard K-Means Exercise Prompt 1.mp424.72 MB
    17. Chapter 4 K-Means Clustering/003. Hard K-Means Exercise 1 Solution.en.srt14.81 KB
    18. Chapter 4 K-Means Clustering/003. Hard K-Means Exercise 1 Solution.mp429.15 MB
    19. Chapter 4 K-Means Clustering/004. Hard K-Means Exercise Prompt 2.en.srt6.48 KB
    20. Chapter 4 K-Means Clustering/004. Hard K-Means Exercise Prompt 2.mp411.65 MB
    21. Chapter 4 K-Means Clustering/005. Hard K-Means Exercise 2 Solution.en.srt9.01 KB
    22. Chapter 4 K-Means Clustering/005. Hard K-Means Exercise 2 Solution.mp417.28 MB
    23. Chapter 4 K-Means Clustering/006. Hard K-Means Exercise Prompt 3.en.srt9.49 KB
    24. Chapter 4 K-Means Clustering/006. Hard K-Means Exercise Prompt 3.mp419.06 MB
    25. Chapter 4 K-Means Clustering/007. Hard K-Means Exercise 3 Solution.en.srt22.10 KB
    26. Chapter 4 K-Means Clustering/007. Hard K-Means Exercise 3 Solution.mp445.57 MB
    27. Chapter 4 K-Means Clustering/008. Hard K-Means Objective Theory.en.srt18.00 KB
    28. Chapter 4 K-Means Clustering/008. Hard K-Means Objective Theory.mp428.48 MB
    29. Chapter 4 K-Means Clustering/009. Hard K-Means Objective Code.en.srt6.45 KB
    30. Chapter 4 K-Means Clustering/009. Hard K-Means Objective Code.mp413.82 MB
    31. Chapter 4 K-Means Clustering/010. Visual Walkthrough of the K-Means Clustering Algorithm (Legacy).en.srt3.98 KB
    32. Chapter 4 K-Means Clustering/010. Visual Walkthrough of the K-Means Clustering Algorithm (Legacy).mp44.07 MB
    33. Chapter 4 K-Means Clustering/011. Soft K-Means.en.srt7.63 KB
    34. Chapter 4 K-Means Clustering/011. Soft K-Means.mp410.09 MB
    35. Chapter 4 K-Means Clustering/012. The K-Means Objective Function.en.srt2.28 KB
    36. Chapter 4 K-Means Clustering/012. The K-Means Objective Function.mp43.08 MB
    37. Chapter 4 K-Means Clustering/013. Soft K-Means in Python Code.en.srt9.45 KB
    38. Chapter 4 K-Means Clustering/013. Soft K-Means in Python Code.mp429.00 MB
    39. Chapter 4 K-Means Clustering/014. How to Pace Yourself.en.srt4.92 KB
    40. Chapter 4 K-Means Clustering/014. How to Pace Yourself.mp47.75 MB
    41. Chapter 4 K-Means Clustering/015. Visualizing Each Step of K-Means.en.srt2.89 KB
    42. Chapter 4 K-Means Clustering/015. Visualizing Each Step of K-Means.mp47.80 MB
    43. Chapter 4 K-Means Clustering/016. Examples of where K-Means can fail.en.srt6.67 KB
    44. Chapter 4 K-Means Clustering/016. Examples of where K-Means can fail.mp420.11 MB
    45. Chapter 4 K-Means Clustering/017. Disadvantages of K-Means Clustering.en.srt3.39 KB
    46. Chapter 4 K-Means Clustering/017. Disadvantages of K-Means Clustering.mp43.71 MB
    47. Chapter 4 K-Means Clustering/018. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).en.srt9.35 KB
    48. Chapter 4 K-Means Clustering/018. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).mp412.78 MB
    49. Chapter 4 K-Means Clustering/019. Using K-Means on Real Data MNIST.en.srt7.24 KB
    50. Chapter 4 K-Means Clustering/019. Using K-Means on Real Data MNIST.mp417.36 MB
    51. Chapter 4 K-Means Clustering/020. One Way to Choose K.en.srt5.65 KB
    52. Chapter 4 K-Means Clustering/020. One Way to Choose K.mp410.36 MB
    53. Chapter 4 K-Means Clustering/021. K-Means Application Finding Clusters of Related Words.en.srt9.14 KB
    54. Chapter 4 K-Means Clustering/021. K-Means Application Finding Clusters of Related Words.mp435.44 MB
    55. Chapter 4 K-Means Clustering/022. Clustering for NLP and Computer Vision Real-World Applications.en.srt9.43 KB
    56. Chapter 4 K-Means Clustering/022. Clustering for NLP and Computer Vision Real-World Applications.mp419.49 MB
    57. Chapter 4 K-Means Clustering/023. Suggestion Box.en.srt4.63 KB
    58. Chapter 4 K-Means Clustering/023. Suggestion Box.mp411.13 MB
    59. Chapter 5 Hierarchical Clustering/001. Visual Walkthrough of Agglomerative Hierarchical Clustering.en.srt3.86 KB
    60. Chapter 5 Hierarchical Clustering/001. Visual Walkthrough of Agglomerative Hierarchical Clustering.mp43.79 MB
    61. Chapter 5 Hierarchical Clustering/002. Agglomerative Clustering Options.en.srt5.58 KB
    62. Chapter 5 Hierarchical Clustering/002. Agglomerative Clustering Options.mp45.53 MB
    63. Chapter 5 Hierarchical Clustering/003. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.en.srt5.02 KB
    64. Chapter 5 Hierarchical Clustering/003. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp411.00 MB
    65. Chapter 5 Hierarchical Clustering/004. Application Evolution.en.srt18.04 KB
    66. Chapter 5 Hierarchical Clustering/004. Application Evolution.mp437.68 MB
    67. Chapter 5 Hierarchical Clustering/005. Application Donald Trump vs. Hillary Clinton Tweets.en.srt20.52 KB
    68. Chapter 5 Hierarchical Clustering/005. Application Donald Trump vs. Hillary Clinton Tweets.mp450.37 MB
    69. Chapter 6 Gaussian Mixture Models (GMMs)/001. Gaussian Mixture Model (GMM) Algorithm.en.srt21.69 KB
    70. Chapter 6 Gaussian Mixture Models (GMMs)/001. Gaussian Mixture Model (GMM) Algorithm.mp430.45 MB
    71. Chapter 6 Gaussian Mixture Models (GMMs)/002. Write a Gaussian Mixture Model in Python Code.en.srt26.39 KB
    72. Chapter 6 Gaussian Mixture Models (GMMs)/002. Write a Gaussian Mixture Model in Python Code.mp462.74 MB
    73. Chapter 6 Gaussian Mixture Models (GMMs)/003. Practical Issues with GMM.en.srt13.56 KB
    74. Chapter 6 Gaussian Mixture Models (GMMs)/003. Practical Issues with GMM.mp419.22 MB
    75. Chapter 6 Gaussian Mixture Models (GMMs)/004. Comparison between GMM and K-Means.en.srt5.41 KB
    76. Chapter 6 Gaussian Mixture Models (GMMs)/004. Comparison between GMM and K-Means.mp48.97 MB
    77. Chapter 6 Gaussian Mixture Models (GMMs)/005. Kernel Density Estimation.en.srt9.07 KB
    78. Chapter 6 Gaussian Mixture Models (GMMs)/005. Kernel Density Estimation.mp413.59 MB
    79. Chapter 6 Gaussian Mixture Models (GMMs)/006. GMM vs Bayes Classifier (pt 1).en.srt13.32 KB
    80. Chapter 6 Gaussian Mixture Models (GMMs)/006. GMM vs Bayes Classifier (pt 1).mp419.57 MB
    81. Chapter 6 Gaussian Mixture Models (GMMs)/007. GMM vs Bayes Classifier (pt 2).en.srt15.95 KB
    82. Chapter 6 Gaussian Mixture Models (GMMs)/007. GMM vs Bayes Classifier (pt 2).mp422.13 MB
    83. Chapter 6 Gaussian Mixture Models (GMMs)/008. Expectation-Maximization (pt 1).en.srt15.87 KB
    84. Chapter 6 Gaussian Mixture Models (GMMs)/008. Expectation-Maximization (pt 1).mp423.39 MB
    85. Chapter 6 Gaussian Mixture Models (GMMs)/009. Expectation-Maximization (pt 2).en.srt2.94 KB
    86. Chapter 6 Gaussian Mixture Models (GMMs)/009. Expectation-Maximization (pt 2).mp44.98 MB
    87. Chapter 6 Gaussian Mixture Models (GMMs)/010. Expectation-Maximization (pt 3).en.srt10.80 KB
    88. Chapter 6 Gaussian Mixture Models (GMMs)/010. Expectation-Maximization (pt 3).mp415.43 MB
    89. Chapter 7 Setting Up Your Environment (Appendix)/001. Pre-Installation Check.en.srt6.94 KB
    90. Chapter 7 Setting Up Your Environment (Appendix)/001. Pre-Installation Check.mp411.03 MB
    91. Chapter 7 Setting Up Your Environment (Appendix)/002. Anaconda Environment Setup.en.srt21.80 KB
    92. Chapter 2 Getting Set Up/001. Where to get the code.en.srt6.34 KB
    93. Chapter 7 Setting Up Your Environment (Appendix)/003. How to install Numpy, Scipy, Matplotlib, Pandas, and Tensorflow.en.srt15.88 KB
    94. Chapter 7 Setting Up Your Environment (Appendix)/003. How to install Numpy, Scipy, Matplotlib, Pandas, and Tensorflow.mp449.08 MB
    95. Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/001. How to Code Yourself (part 1).en.srt22.90 KB
    96. Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/001. How to Code Yourself (part 1).mp429.57 MB
    97. Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/002. How to Code Yourself (part 2).en.srt13.87 KB
    98. Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/002. How to Code Yourself (part 2).mp419.07 MB
    99. Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/003. Proof that using Jupyter Notebook is the same as not using it.en.srt15.90 KB
    100. Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/003. Proof that using Jupyter Notebook is the same as not using it.mp434.48 MB
    101. Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/004. How to use Github & Extra Coding Tips (Optional).en.srt16.60 KB
    102. Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/004. How to use Github & Extra Coding Tips (Optional).mp429.18 MB
    103. Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/001. How to Succeed in this Course (Long Version).en.srt15.98 KB
    104. Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/001. How to Succeed in this Course (Long Version).mp417.28 MB
    105. Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/002. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.en.srt33.78 KB
    106. Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/002. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp441.56 MB
    107. Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/003. What order should I take your courses in (part 1).en.srt17.99 KB
    108. Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/003. What order should I take your courses in (part 1).mp428.15 MB
    109. Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/004. What order should I take your courses in (part 2).en.srt25.35 KB
    110. Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/004. What order should I take your courses in (part 2).mp437.46 MB
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    148. Chapter 1 Welcome/001. Introduction.en.srt7.46 KB
    149. z.9781836649373_Code/ann_class2/adam.py5.93 KB
    150. z.9781836649373_Code/ann_class2/batch_norm_tf.py5.58 KB
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    177. Chapter 1 Welcome/001. Introduction.mp413.60 MB
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