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[] Udemy - Machine Learning Classification Bootcamp in Python

  • 收录时间:2021-05-22 22:27:42
  • 文件大小:6GB
  • 下载次数:1
  • 最近下载:2021-05-22 22:27:42
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文件列表

  1. 4. Logistic Regression/6. Logistic Regression - Project #1 - Part #3.mp4 161MB
  2. 7. Decision Trees and Random Forest/13. Decision Trees & Random Forest - Project #2 - Part #1.mp4 156MB
  3. 5. Support Vector Machines/9. Support Vector Machines - Project #1 - Part #7.mp4 148MB
  4. 2. What is Machine Learning The Big Picture/2. What is Machine Learning The Big Picture Part #2.mp4 138MB
  5. 8. Naive Bayes Classifiers/2. Naive Bayes Intuition.mp4 137MB
  6. 1. Introduction/2.1 ML Classification Package.zip 132MB
  7. 8. Naive Bayes Classifiers/3. Naive Bayes - Mathematics.mp4 128MB
  8. 5. Support Vector Machines/4. Support Vector Machines - Project #1 - Part #2.mp4 123MB
  9. 3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/3. How to run a Jupyter Notebook.mp4 123MB
  10. 6. K-Nearest Neighbors/8. KNN - Project #2 - Part #1.mp4 121MB
  11. 5. Support Vector Machines/5. Support Vector Machines - Project #1 - Part #3.mp4 120MB
  12. 8. Naive Bayes Classifiers/6. Project #1 - Part #3.mp4 119MB
  13. 7. Decision Trees and Random Forest/2. Decision Trees - Intuition.mp4 118MB
  14. 8. Naive Bayes Classifiers/11. Project #2 - Part #1.mp4 111MB
  15. 7. Decision Trees and Random Forest/16. Decision Trees & Random Forest - Project #2 - Part #4.mp4 109MB
  16. 6. K-Nearest Neighbors/2. K-Nearest Neighbors - Intuition.mp4 107MB
  17. 4. Logistic Regression/7. Logistic Regression - Project #1 - Part #4.mp4 98MB
  18. 2. What is Machine Learning The Big Picture/1. What is Machine Learning The Big Picture Part #1.mp4 96MB
  19. 1. Introduction/5. Course Overview.mp4 95MB
  20. 5. Support Vector Machines/2. Support Vector Machines - Intuition.mp4 95MB
  21. 5. Support Vector Machines/8. Support Vector Machines - Project #1 - Part #6.mp4 94MB
  22. 4. Logistic Regression/15. Logistic Regression - Project #2 - Part #3.mp4 94MB
  23. 4. Logistic Regression/2. Logistic Regression Intuition.mp4 92MB
  24. 7. Decision Trees and Random Forest/8. Decision Trees & Random Forest - Project #1 - Part #5.mp4 92MB
  25. 8. Naive Bayes Classifiers/10. Project #2 - Overview.mp4 91MB
  26. 8. Naive Bayes Classifiers/4. Project #1 - Part #1.mp4 88MB
  27. 4. Logistic Regression/16. Logistic Regression - Project #2 - Part #4.mp4 86MB
  28. 8. Naive Bayes Classifiers/5. Project #1 - Part #2.mp4 84MB
  29. 8. Naive Bayes Classifiers/14. Project #2 - Part #4.mp4 83MB
  30. 7. Decision Trees and Random Forest/5. Decision Trees & Random Forest - Project #1 - Part #2.mp4 78MB
  31. 4. Logistic Regression/13. Logistic Regression - Project #2 - Part #2.mp4 77MB
  32. 7. Decision Trees and Random Forest/14. Decision Trees & Random Forest - Project #2 - Part #2.mp4 73MB
  33. 5. Support Vector Machines/6. Support Vector Machines - Project #1 - Part #4.mp4 73MB
  34. 7. Decision Trees and Random Forest/6. Decision Trees & Random Forest - Project #1 - Part #3.mp4 71MB
  35. 8. Naive Bayes Classifiers/7. Project #1 - Part #4.mp4 69MB
  36. 4. Logistic Regression/4. Logistic Regression - Project #1 - Part #1.mp4 66MB
  37. 7. Decision Trees and Random Forest/11. Decision Trees & Random Forest - Project #1 - Part #8.mp4 64MB
  38. 4. Logistic Regression/10. Logistic Regression - Project #1 - Part #7.mp4 64MB
  39. 8. Naive Bayes Classifiers/12. Project #2 - Part #2.mp4 62MB
  40. 7. Decision Trees and Random Forest/7. Decision Trees & Random Forest - Project #1 - Part #4.mp4 62MB
  41. 4. Logistic Regression/11. Logistic Regression - Project #2 Overview.mp4 62MB
  42. 7. Decision Trees and Random Forest/3. Random Forest - Intuition.mp4 61MB
  43. 4. Logistic Regression/8. Logistic Regression - Project #1 - Part #5.mp4 61MB
  44. 6. K-Nearest Neighbors/5. KNN - Project #1 - Part #3.mp4 60MB
  45. 6. K-Nearest Neighbors/10. KNN - Project #2 - Part #3.mp4 59MB
  46. 8. Naive Bayes Classifiers/9. Project #1 - Part #6.mp4 59MB
  47. 6. K-Nearest Neighbors/4. KNN - Project #1 - Part #2.mp4 58MB
  48. 7. Decision Trees and Random Forest/15. Decision Trees & Random Forest - Project #3 - Part #3.mp4 58MB
  49. 6. K-Nearest Neighbors/3. KNN - Project #1 - Part #1.mp4 58MB
  50. 5. Support Vector Machines/14. Support Vector Machines - Project #2 - Part #4.mp4 57MB
  51. 6. K-Nearest Neighbors/9. KNN - Project #2 - Part #2.mp4 57MB
  52. 6. K-Nearest Neighbors/6. KNN - Project #1 - Part #4.mp4 55MB
  53. 5. Support Vector Machines/12. Support Vector Machines - Project #2 - Part #2.mp4 55MB
  54. 4. Logistic Regression/3. Confusion Matrix Overview.mp4 54MB
  55. 6. K-Nearest Neighbors/7. KNN - Project #2 Overview.mp4 53MB
  56. 5. Support Vector Machines/11. Support Vector Machines - Project #2 - Part #1.mp4 53MB
  57. 1. Introduction/1. Introduction and Welcome Message.mp4 52MB
  58. 4. Logistic Regression/5. Logistic Regression - Project #1 - Part #2.mp4 52MB
  59. 7. Decision Trees and Random Forest/1. Decision Trees and Random Forest Intro and Learning Outcomes.mp4 52MB
  60. 7. Decision Trees and Random Forest/9. Decision Trees & Random Forest - Project #1 - Part #6.mp4 51MB
  61. 7. Decision Trees and Random Forest/12. Decision Trees & Random Forest - Project #2 Overview.mp4 51MB
  62. 4. Logistic Regression/1. Logistic Regression Introduction and Learning Outcomes.mp4 50MB
  63. 7. Decision Trees and Random Forest/10. Decision Trees & Random Forest - Project #1 - Part #7.mp4 48MB
  64. 5. Support Vector Machines/13. Support Vector Machines - Project #2 - Part #3.mp4 48MB
  65. 5. Support Vector Machines/7. Support Vector Machines - Project #1 - Part #5.mp4 47MB
  66. 3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/1. What is Anaconda and How to download it.mp4 45MB
  67. 4. Logistic Regression/14. Logistic Regression - Project #2 - Part #2.mp4 44MB
  68. 5. Support Vector Machines/1. Support Vector Machines Intro and Learning Outcomes.mp4 41MB
  69. 8. Naive Bayes Classifiers/8. Project #1 - Part #5.mp4 40MB
  70. 8. Naive Bayes Classifiers/13. Project #2 - Part #3.mp4 39MB
  71. 6. K-Nearest Neighbors/1. K-Nearest Neighbors Intro and Learning Outcomes.mp4 37MB
  72. 4. Logistic Regression/12. Logistic Regression - Project #2 - Part #1.mp4 37MB
  73. 5. Support Vector Machines/3. Support Vector Machines - Project #1 - Part #1.mp4 36MB
  74. 3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/2. What are Jupyter Notebooks.mp4 32MB
  75. 7. Decision Trees and Random Forest/4. Decision Trees & Random Forest - Project #1 - Part #1.mp4 30MB
  76. 4. Logistic Regression/9. Logistic Regression - Project #1 - Part #6.mp4 29MB
  77. 5. Support Vector Machines/10. Project #2 Overview.mp4 29MB
  78. 8. Naive Bayes Classifiers/1. Naive Bayes Intro and Learning Outcomes.mp4 29MB
  79. 1. Introduction/4. Updates on Udemy Reviews.mp4 23MB
  80. 4. Logistic Regression/6. Logistic Regression - Project #1 - Part #3.srt 34KB
  81. 7. Decision Trees and Random Forest/13. Decision Trees & Random Forest - Project #2 - Part #1.srt 33KB
  82. 5. Support Vector Machines/9. Support Vector Machines - Project #1 - Part #7.srt 29KB
  83. 2. What is Machine Learning The Big Picture/2. What is Machine Learning The Big Picture Part #2.srt 27KB
  84. 8. Naive Bayes Classifiers/2. Naive Bayes Intuition.srt 26KB
  85. 6. K-Nearest Neighbors/2. K-Nearest Neighbors - Intuition.srt 26KB
  86. 7. Decision Trees and Random Forest/2. Decision Trees - Intuition.srt 25KB
  87. 8. Naive Bayes Classifiers/3. Naive Bayes - Mathematics.srt 24KB
  88. 6. K-Nearest Neighbors/8. KNN - Project #2 - Part #1.srt 23KB
  89. 3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/3. How to run a Jupyter Notebook.srt 23KB
  90. 4. Logistic Regression/7. Logistic Regression - Project #1 - Part #4.srt 23KB
  91. 4. Logistic Regression/2. Logistic Regression Intuition.srt 23KB
  92. 8. Naive Bayes Classifiers/6. Project #1 - Part #3.srt 22KB
  93. 5. Support Vector Machines/4. Support Vector Machines - Project #1 - Part #2.srt 22KB
  94. 4. Logistic Regression/3. Confusion Matrix Overview.srt 20KB
  95. 7. Decision Trees and Random Forest/16. Decision Trees & Random Forest - Project #2 - Part #4.srt 19KB
  96. 1. Introduction/5. Course Overview.srt 19KB
  97. 5. Support Vector Machines/2. Support Vector Machines - Intuition.srt 19KB
  98. 4. Logistic Regression/15. Logistic Regression - Project #2 - Part #3.srt 18KB
  99. 7. Decision Trees and Random Forest/8. Decision Trees & Random Forest - Project #1 - Part #5.srt 18KB
  100. 5. Support Vector Machines/5. Support Vector Machines - Project #1 - Part #3.srt 18KB
  101. 2. What is Machine Learning The Big Picture/1. What is Machine Learning The Big Picture Part #1.srt 17KB
  102. 5. Support Vector Machines/8. Support Vector Machines - Project #1 - Part #6.srt 17KB
  103. 8. Naive Bayes Classifiers/11. Project #2 - Part #1.srt 16KB
  104. 4. Logistic Regression/13. Logistic Regression - Project #2 - Part #2.srt 16KB
  105. 7. Decision Trees and Random Forest/14. Decision Trees & Random Forest - Project #2 - Part #2.srt 16KB
  106. 7. Decision Trees and Random Forest/6. Decision Trees & Random Forest - Project #1 - Part #3.srt 16KB
  107. 8. Naive Bayes Classifiers/5. Project #1 - Part #2.srt 15KB
  108. 4. Logistic Regression/16. Logistic Regression - Project #2 - Part #4.srt 15KB
  109. 7. Decision Trees and Random Forest/5. Decision Trees & Random Forest - Project #1 - Part #2.srt 15KB
  110. 5. Support Vector Machines/6. Support Vector Machines - Project #1 - Part #4.srt 15KB
  111. 8. Naive Bayes Classifiers/4. Project #1 - Part #1.srt 15KB
  112. 8. Naive Bayes Classifiers/7. Project #1 - Part #4.srt 14KB
  113. 7. Decision Trees and Random Forest/11. Decision Trees & Random Forest - Project #1 - Part #8.srt 14KB
  114. 4. Logistic Regression/8. Logistic Regression - Project #1 - Part #5.srt 14KB
  115. 8. Naive Bayes Classifiers/10. Project #2 - Overview.srt 14KB
  116. 6. K-Nearest Neighbors/4. KNN - Project #1 - Part #2.srt 13KB
  117. 4. Logistic Regression/10. Logistic Regression - Project #1 - Part #7.srt 13KB
  118. 7. Decision Trees and Random Forest/7. Decision Trees & Random Forest - Project #1 - Part #4.srt 13KB
  119. 6. K-Nearest Neighbors/5. KNN - Project #1 - Part #3.srt 13KB
  120. 8. Naive Bayes Classifiers/14. Project #2 - Part #4.srt 13KB
  121. 7. Decision Trees and Random Forest/15. Decision Trees & Random Forest - Project #3 - Part #3.srt 12KB
  122. 7. Decision Trees and Random Forest/3. Random Forest - Intuition.srt 12KB
  123. 5. Support Vector Machines/12. Support Vector Machines - Project #2 - Part #2.srt 12KB
  124. 4. Logistic Regression/11. Logistic Regression - Project #2 Overview.srt 11KB
  125. 6. K-Nearest Neighbors/10. KNN - Project #2 - Part #3.srt 11KB
  126. 6. K-Nearest Neighbors/9. KNN - Project #2 - Part #2.srt 11KB
  127. 6. K-Nearest Neighbors/6. KNN - Project #1 - Part #4.srt 11KB
  128. 8. Naive Bayes Classifiers/9. Project #1 - Part #6.srt 11KB
  129. 4. Logistic Regression/4. Logistic Regression - Project #1 - Part #1.srt 11KB
  130. 5. Support Vector Machines/13. Support Vector Machines - Project #2 - Part #3.srt 10KB
  131. 6. K-Nearest Neighbors/3. KNN - Project #1 - Part #1.srt 10KB
  132. 5. Support Vector Machines/14. Support Vector Machines - Project #2 - Part #4.srt 10KB
  133. 7. Decision Trees and Random Forest/9. Decision Trees & Random Forest - Project #1 - Part #6.srt 10KB
  134. 5. Support Vector Machines/11. Support Vector Machines - Project #2 - Part #1.srt 10KB
  135. 5. Support Vector Machines/7. Support Vector Machines - Project #1 - Part #5.srt 10KB
  136. 7. Decision Trees and Random Forest/10. Decision Trees & Random Forest - Project #1 - Part #7.srt 10KB
  137. 4. Logistic Regression/5. Logistic Regression - Project #1 - Part #2.srt 9KB
  138. 8. Naive Bayes Classifiers/13. Project #2 - Part #3.srt 9KB
  139. 8. Naive Bayes Classifiers/12. Project #2 - Part #2.srt 9KB
  140. 7. Decision Trees and Random Forest/12. Decision Trees & Random Forest - Project #2 Overview.srt 9KB
  141. 6. K-Nearest Neighbors/7. KNN - Project #2 Overview.srt 8KB
  142. 4. Logistic Regression/14. Logistic Regression - Project #2 - Part #2.srt 8KB
  143. 8. Naive Bayes Classifiers/8. Project #1 - Part #5.srt 7KB
  144. 4. Logistic Regression/12. Logistic Regression - Project #2 - Part #1.srt 7KB
  145. 5. Support Vector Machines/3. Support Vector Machines - Project #1 - Part #1.srt 7KB
  146. 3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/1. What is Anaconda and How to download it.srt 6KB
  147. 4. Logistic Regression/9. Logistic Regression - Project #1 - Part #6.srt 6KB
  148. 3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/2. What are Jupyter Notebooks.srt 5KB
  149. 5. Support Vector Machines/10. Project #2 Overview.srt 5KB
  150. 7. Decision Trees and Random Forest/4. Decision Trees & Random Forest - Project #1 - Part #1.srt 5KB
  151. 1. Introduction/1. Introduction and Welcome Message.srt 3KB
  152. 7. Decision Trees and Random Forest/1. Decision Trees and Random Forest Intro and Learning Outcomes.srt 3KB
  153. 4. Logistic Regression/1. Logistic Regression Introduction and Learning Outcomes.srt 3KB
  154. 5. Support Vector Machines/1. Support Vector Machines Intro and Learning Outcomes.srt 3KB
  155. 6. K-Nearest Neighbors/1. K-Nearest Neighbors Intro and Learning Outcomes.srt 3KB
  156. 8. Naive Bayes Classifiers/1. Naive Bayes Intro and Learning Outcomes.srt 2KB
  157. 1. Introduction/4. Updates on Udemy Reviews.srt 2KB
  158. 1. Introduction/3. BONUS Learning Paths.html 1KB
  159. 9. Bonus Lectures/1. YOUR SPECIAL BONUS.html 1KB
  160. 1. Introduction/6. Get the Materials.html 357B
  161. 0. Websites you may like/[FCS Forum].url 133B
  162. 0. Websites you may like/[FreeCourseSite.com].url 127B
  163. 0. Websites you may like/[CourseClub.ME].url 122B
  164. 3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/1.1 Anaconda SetupDownload Page.html 103B
  165. 1. Introduction/2. Introduction and Welcome Message [Course Material Download].html 32B