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[ ] Udemy - Unsupervised Machine Learning with 2 Capstone ML Projects

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文件列表

  1. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/3. Solving a Real World Problem.mp4 99MB
  2. ~Get Your Files Here !/1. Introduction to Clustering Analysis/8. Using Silhouette Score to analyze the clusters.mp4 96MB
  3. ~Get Your Files Here !/1. Introduction to Clustering Analysis/10. Introduction to Hierarchical Clustering.mp4 88MB
  4. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/14. Introduction to t-SNE.mp4 81MB
  5. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/1. Why High Dimensional Datasets are a Problem.mp4 79MB
  6. ~Get Your Files Here !/4. Customer Segmentation Engine/3. Data Analysis and Visualization.mp4 78MB
  7. ~Get Your Files Here !/1. Introduction to Clustering Analysis/13. Introduction to DBSCAN Clustering.mp4 76MB
  8. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/12. Introduction to Principal Component Analysis.mp4 74MB
  9. ~Get Your Files Here !/3. Optimizing Crop Production/4. Performing Descriptive Statistics.mp4 73MB
  10. ~Get Your Files Here !/1. Introduction to Clustering Analysis/7. Implementing K Means on the Mall Dataset.mp4 72MB
  11. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/4. Introduction to Correlation using Heatmap.mp4 71MB
  12. ~Get Your Files Here !/1. Introduction to Clustering Analysis/6. Solving a Real World Problem.mp4 71MB
  13. ~Get Your Files Here !/1. Introduction to Clustering Analysis/4. Using the Elbow Method for Choosing the Best Value for K.mp4 67MB
  14. ~Get Your Files Here !/1. Introduction to Clustering Analysis/2. Types of Clustering.mp4 65MB
  15. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/18. Difference between PCA, t-SNE, and LDA.mp4 65MB
  16. ~Get Your Files Here !/3. Optimizing Crop Production/6. Clustering Similar Crops.mp4 64MB
  17. ~Get Your Files Here !/4. Customer Segmentation Engine/4. KMeans Clustering Analysis.mp4 62MB
  18. ~Get Your Files Here !/1. Introduction to Clustering Analysis/1. Introduction to Clustering.mp4 58MB
  19. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/2. Methods to solve the problem of High Dimensionality.mp4 57MB
  20. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/8. Introduction to Recursive Feature Selection.mp4 57MB
  21. ~Get Your Files Here !/1. Introduction to Clustering Analysis/3. Applications of Clustering.mp4 56MB
  22. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/13. Implementing PCA.mp4 56MB
  23. ~Get Your Files Here !/3. Optimizing Crop Production/2. Understanding the Dataset.mp4 55MB
  24. ~Get Your Files Here !/4. Customer Segmentation Engine/1. Understanding the Problem Statement.mp4 54MB
  25. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/10. Introduction the Boruta Algorithm.mp4 52MB
  26. ~Get Your Files Here !/1. Introduction to Clustering Analysis/12. Implementing Hierarchical Clustering.mp4 52MB
  27. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/9. Implementing Recursive Feature Selection.mp4 51MB
  28. ~Get Your Files Here !/1. Introduction to Clustering Analysis/9. Clustering Multiple Dimensions.mp4 50MB
  29. ~Get Your Files Here !/1. Introduction to Clustering Analysis/5. Introduction to K Means Clustering.mp4 49MB
  30. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/5. Removing Highly Correlated Columns using Correlation.mp4 49MB
  31. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/16. Introduction to Linear Discriminant Analysis.mp4 49MB
  32. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/6. Introduction to Variance Inflation Filtering.mp4 49MB
  33. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/7. Implementing VIF using statsmodel.mp4 48MB
  34. ~Get Your Files Here !/1. Introduction to Clustering Analysis/14. Implementing DBSCAN Clustering.mp4 48MB
  35. ~Get Your Files Here !/3. Optimizing Crop Production/1. Setting up the Environment.mp4 46MB
  36. ~Get Your Files Here !/5. Outro Section/1. Conclusion.mp4 46MB
  37. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/11. Implementing the Boruta Algorithm.mp4 43MB
  38. ~Get Your Files Here !/1. Introduction to Clustering Analysis/11. Introduction to Dendrograms.mp4 42MB
  39. ~Get Your Files Here !/4. Customer Segmentation Engine/5. Applying Hierarchical Clustering.mp4 41MB
  40. ~Get Your Files Here !/3. Optimizing Crop Production/10. Summarizing the Key-Points.mp4 41MB
  41. ~Get Your Files Here !/3. Optimizing Crop Production/8. Building a Machine Learning Classification Model.mp4 40MB
  42. ~Get Your Files Here !/3. Optimizing Crop Production/5. Analyzing Agricultural Conditions.mp4 39MB
  43. ~Get Your Files Here !/4. Customer Segmentation Engine/6. Three Dimensional Clustering.mp4 37MB
  44. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/17. Implementing LDA.mp4 37MB
  45. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/15. Implementing t-SNE.mp4 36MB
  46. ~Get Your Files Here !/3. Optimizing Crop Production/3. Understanding the Problem Statement.mp4 35MB
  47. ~Get Your Files Here !/4. Customer Segmentation Engine/2. Setting up the Environment.mp4 29MB
  48. ~Get Your Files Here !/3. Optimizing Crop Production/7. Visualizing the Hidden Patterns.mp4 28MB
  49. ~Get Your Files Here !/3. Optimizing Crop Production/9. Real Time Predictions.mp4 28MB
  50. ~Get Your Files Here !/3. Solving a Real World Problem.jpeg 192KB
  51. ~Get Your Files Here !/4. Customer Segmentation Engine/3. Data Analysis and Visualization.srt 17KB
  52. ~Get Your Files Here !/4. Customer Segmentation Engine/4. KMeans Clustering Analysis.srt 9KB
  53. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/3. Solving a Real World Problem.srt 8KB
  54. ~Get Your Files Here !/1. Introduction to Clustering Analysis/8. Using Silhouette Score to analyze the clusters.srt 7KB
  55. ~Get Your Files Here !/3. Optimizing Crop Production/4. Performing Descriptive Statistics.srt 6KB
  56. ~Get Your Files Here !/1. Introduction to Clustering Analysis/7. Implementing K Means on the Mall Dataset.srt 6KB
  57. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/4. Introduction to Correlation using Heatmap.srt 5KB
  58. ~Get Your Files Here !/1. Introduction to Clustering Analysis/6. Solving a Real World Problem.srt 5KB
  59. ~Get Your Files Here !/1. Introduction to Clustering Analysis/10. Introduction to Hierarchical Clustering.srt 5KB
  60. ~Get Your Files Here !/1. Introduction to Clustering Analysis/13. Introduction to DBSCAN Clustering.srt 4KB
  61. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/11. Implementing the Boruta Algorithm.srt 4KB
  62. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/14. Introduction to t-SNE.srt 4KB
  63. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/1. Why High Dimensional Datasets are a Problem.srt 4KB
  64. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/13. Implementing PCA.srt 4KB
  65. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/9. Implementing Recursive Feature Selection.srt 4KB
  66. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/12. Introduction to Principal Component Analysis.srt 4KB
  67. ~Get Your Files Here !/3. Optimizing Crop Production/6. Clustering Similar Crops.srt 4KB
  68. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/5. Removing Highly Correlated Columns using Correlation.srt 4KB
  69. ~Get Your Files Here !/1. Introduction to Clustering Analysis/11. Introduction to Dendrograms.srt 4KB
  70. ~Get Your Files Here !/1. Introduction to Clustering Analysis/2. Types of Clustering.srt 4KB
  71. ~Get Your Files Here !/1. Introduction to Clustering Analysis/5. Introduction to K Means Clustering.srt 4KB
  72. ~Get Your Files Here !/1. Introduction to Clustering Analysis/4. Using the Elbow Method for Choosing the Best Value for K.srt 4KB
  73. ~Get Your Files Here !/1. Introduction to Clustering Analysis/12. Implementing Hierarchical Clustering.srt 4KB
  74. ~Get Your Files Here !/1. Introduction to Clustering Analysis/14. Implementing DBSCAN Clustering.srt 4KB
  75. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/7. Implementing VIF using statsmodel.srt 4KB
  76. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/18. Difference between PCA, t-SNE, and LDA.srt 3KB
  77. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/2. Methods to solve the problem of High Dimensionality.srt 3KB
  78. ~Get Your Files Here !/1. Introduction to Clustering Analysis/3. Applications of Clustering.srt 3KB
  79. ~Get Your Files Here !/3. Optimizing Crop Production/8. Building a Machine Learning Classification Model.srt 3KB
  80. ~Get Your Files Here !/3. Optimizing Crop Production/2. Understanding the Dataset.srt 3KB
  81. ~Get Your Files Here !/3. Optimizing Crop Production/1. Setting up the Environment.srt 3KB
  82. ~Get Your Files Here !/1. Introduction to Clustering Analysis/1. Introduction to Clustering.srt 3KB
  83. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/8. Introduction to Recursive Feature Selection.srt 3KB
  84. ~Get Your Files Here !/4. Customer Segmentation Engine/1. Understanding the Problem Statement.srt 3KB
  85. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/10. Introduction the Boruta Algorithm.srt 3KB
  86. ~Get Your Files Here !/5. Outro Section/1. Conclusion.srt 3KB
  87. ~Get Your Files Here !/3. Optimizing Crop Production/5. Analyzing Agricultural Conditions.srt 3KB
  88. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/17. Implementing LDA.srt 3KB
  89. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/16. Introduction to Linear Discriminant Analysis.srt 3KB
  90. ~Get Your Files Here !/3. Optimizing Crop Production/7. Visualizing the Hidden Patterns.srt 3KB
  91. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/15. Implementing t-SNE.srt 2KB
  92. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/6. Introduction to Variance Inflation Filtering.srt 2KB
  93. ~Get Your Files Here !/3. Optimizing Crop Production/10. Summarizing the Key-Points.srt 2KB
  94. ~Get Your Files Here !/3. Optimizing Crop Production/9. Real Time Predictions.srt 2KB
  95. ~Get Your Files Here !/4. Customer Segmentation Engine/2. Setting up the Environment.srt 2KB
  96. ~Get Your Files Here !/3. Optimizing Crop Production/3. Understanding the Problem Statement.srt 2KB
  97. ~Get Your Files Here !/4. Customer Segmentation Engine/6. Three Dimensional Clustering.srt 2KB
  98. ~Get Your Files Here !/4. Customer Segmentation Engine/5. Applying Hierarchical Clustering.srt 2KB
  99. ~Get Your Files Here !/Bonus Resources.txt 357B
  100. ~Get Your Files Here !/1. Introduction to Clustering Analysis/9. Clustering Multiple Dimensions.srt 278B
  101. Get Bonus Downloads Here.url 183B