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[] Udemy - Scala and Spark for Big Data and Machine Learning

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  • 文件大小:1GB
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  • 最近下载:2020-12-23 12:46:08
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文件列表

  1. 12. Classification with Spark/4. Spark Classification - Logistic Regression Example - Part 2.mp4 56MB
  2. 13. Model Evaluation/2. Spark Model Evaluation - Documentation Example.mp4 53MB
  3. 16. DataBricks and Spark/4. Zeppelin Notebooks on AWS Elastic MapReduce.mp4 52MB
  4. 13. Model Evaluation/3. Spark - Model Evaluation - Regression Example.mp4 52MB
  5. 9. Spark DataFrames with Scala/4. Spark DataFrame Operations.mp4 49MB
  6. 16. DataBricks and Spark/1. Databricks Overview.mp4 48MB
  7. 12. Classification with Spark/3. Spark Classification - Logistic Regression Example - Part 1.mp4 43MB
  8. 9. Spark DataFrames with Scala/10. DataFrame Project - Solutions.mp4 41MB
  9. 11. Regression with Spark/8. Linear Regression Project Solutions.mp4 41MB
  10. 12. Classification with Spark/6. Classification Project Solutions.mp4 40MB
  11. 11. Regression with Spark/5. Linear Regression Walkthrough Part 1.mp4 40MB
  12. 9. Spark DataFrames with Scala/3. DataFrames Overview.mp4 36MB
  13. 10. Introduction to Machine Learning/2. Machine Learning with Spark.mp4 32MB
  14. 3. Windows Scala and Spark Set-up and Installation/3. Windows Scala and Spark Installation.mp4 30MB
  15. 9. Spark DataFrames with Scala/5. GroupBy and Aggregate Functions.mp4 29MB
  16. 8. Scala Programming Level Two/6. Scala Programming Exercises - Solutions.mp4 29MB
  17. 5. Linux (Ubuntu) Setup and Installation/1. Installing Scala and Spark on Linux (Ubuntu).mp4 29MB
  18. 16. DataBricks and Spark/3. Spark Recommender System Implementation.mp4 28MB
  19. 15. PCA with Spark/4. PCA Spark Exercise - Solutions.mp4 27MB
  20. 3. Windows Scala and Spark Set-up and Installation/4. Atom Windows Installation.mp4 27MB
  21. 9. Spark DataFrames with Scala/6. Missing data.mp4 26MB
  22. 14. Clustering with Spark/6. Clustering Project Exercises - Solutions.mp4 26MB
  23. 9. Spark DataFrames with Scala/2. Introduction to Spark DataFrames.mp4 26MB
  24. 9. Spark DataFrames with Scala/7. Date and Timestamps.mp4 25MB
  25. 4. Mac OS Setup and Installation/1. Mac OS Installation and Setup.mp4 24MB
  26. 11. Regression with Spark/3. Linear Regression Documentation Example.mp4 24MB
  27. 10. Introduction to Machine Learning/3. IntelliJ IDEA Installation Overview.mp4 24MB
  28. 12. Classification with Spark/1. Introduction to Classification.mp4 22MB
  29. 8. Scala Programming Level Two/4. Functions.mp4 22MB
  30. 6. Scala Programming Level One/4. Strings and Basic Regex.mp4 22MB
  31. 12. Classification with Spark/2. Classification Documentation Example.mp4 21MB
  32. 1. Course Introduction/3. Scala and Spark Overview.mp4 19MB
  33. 14. Clustering with Spark/4. Example of KMeans with Spark.mp4 19MB
  34. 13. Model Evaluation/1. Model Evaluation Overview.mp4 19MB
  35. 11. Regression with Spark/6. Linear Regression Walkthrough Part 2.mp4 17MB
  36. 8. Scala Programming Level Two/1. Flow Control.mp4 15MB
  37. 7. Collections/2. Lists.mp4 14MB
  38. 6. Scala Programming Level One/2. Values and Variables.mp4 13MB
  39. 10. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 13MB
  40. 15. PCA with Spark/2. PCA with Spark - Documentation Example.mp4 12MB
  41. 6. Scala Programming Level One/1. Arithmetic and Numbers.mp4 12MB
  42. 7. Collections/5. Maps.mp4 12MB
  43. 11. Regression with Spark/1. Introduction to Linear Regression.mp4 12MB
  44. 7. Collections/8. Collections Assessment Test - Solutions.mp4 11MB
  45. 14. Clustering with Spark/5. Clustering Project Exercise Overview.mp4 11MB
  46. 7. Collections/4. Sets.mp4 10MB
  47. 8. Scala Programming Level Two/3. While Loops.mp4 10MB
  48. 8. Scala Programming Level Two/2. For Loops.mp4 10MB
  49. 6. Scala Programming Level One/8. Scala Basics - Assessment Test Solutions.mp4 10MB
  50. 14. Clustering with Spark/2. KMeans Theory Lecture.mp4 9MB
  51. 15. PCA with Spark/3. PCA with Spark - Project Exercise.mp4 9MB
  52. 1. Course Introduction/1. Introduction.mp4 9MB
  53. 16. DataBricks and Spark/2. Introduction to Spark Recommendation Systems.mp4 8MB
  54. 7. Collections/3. Arrays.mp4 6MB
  55. 11. Regression with Spark/7. Linear Regression Exercise Project.mp4 6MB
  56. 15. PCA with Spark/1. PCA Theory Overview.mp4 6MB
  57. 8. Scala Programming Level Two/5. Scala Programming Exercises.mp4 6MB
  58. 2. Scala IDE Options and Overview/1. ScalaIDE Overview.mp4 6MB
  59. 12. Classification with Spark/5. Logistic Regression Project Exercise.mp4 5MB
  60. 6. Scala Programming Level One/5. Tuples.mp4 4MB
  61. 6. Scala Programming Level One/3. Booleans and Comparison Operators.mp4 4MB
  62. 9. Spark DataFrames with Scala/9. DataFrame Project Exercises.mp4 4MB
  63. 14. Clustering with Spark/1. Introduction to Clustering with Spark.mp4 3MB
  64. 11. Regression with Spark/2. Introduction to Regression Section.mp4 2MB
  65. 1. Course Introduction/2.2 Spark PDF Slides.zip.zip 2MB
  66. 7. Collections/1. Intro to Collections.mp4 1MB
  67. 3. Windows Scala and Spark Set-up and Installation/1. Windows Introduction.mp4 1MB
  68. 6. Scala Programming Level One/6. Scala Basics - Assessment Test Exercises.mp4 1MB
  69. 1. Course Introduction/2.1 Scala-and-Spark-Bootcamp-master.zip.zip 1MB
  70. 7. Collections/6. Collections - Assessment Test Exercise.mp4 1MB
  71. 11. Regression with Spark/4.2 Clean_USA_Housing.csv.csv 468KB
  72. 3. Windows Scala and Spark Set-up and Installation/3.1 winutils.exe.exe 106KB
  73. 11. Regression with Spark/4.1 Clean_Ecommerce.csv.csv 61KB
  74. 13. Model Evaluation/3. Spark - Model Evaluation - Regression Example.srt 33KB
  75. 13. Model Evaluation/2. Spark Model Evaluation - Documentation Example.srt 31KB
  76. 16. DataBricks and Spark/4. Zeppelin Notebooks on AWS Elastic MapReduce.srt 31KB
  77. 9. Spark DataFrames with Scala/10. DataFrame Project - Solutions.srt 29KB
  78. 9. Spark DataFrames with Scala/3. DataFrames Overview.srt 27KB
  79. 12. Classification with Spark/4. Spark Classification - Logistic Regression Example - Part 2.srt 27KB
  80. 16. DataBricks and Spark/1. Databricks Overview.srt 27KB
  81. 9. Spark DataFrames with Scala/4. Spark DataFrame Operations.srt 25KB
  82. 11. Regression with Spark/8. Linear Regression Project Solutions.srt 23KB
  83. 12. Classification with Spark/3. Spark Classification - Logistic Regression Example - Part 1.srt 23KB
  84. 8. Scala Programming Level Two/6. Scala Programming Exercises - Solutions.srt 22KB
  85. 11. Regression with Spark/5. Linear Regression Walkthrough Part 1.srt 22KB
  86. 12. Classification with Spark/6. Classification Project Solutions.srt 20KB
  87. 9. Spark DataFrames with Scala/6. Missing data.srt 19KB
  88. 10. Introduction to Machine Learning/2. Machine Learning with Spark.srt 19KB
  89. 6. Scala Programming Level One/4. Strings and Basic Regex.srt 18KB
  90. 16. DataBricks and Spark/3. Spark Recommender System Implementation.srt 18KB
  91. 8. Scala Programming Level Two/4. Functions.srt 18KB
  92. 12. Classification with Spark/1. Introduction to Classification.srt 18KB
  93. 10. Introduction to Machine Learning/3. IntelliJ IDEA Installation Overview.srt 17KB
  94. 5. Linux (Ubuntu) Setup and Installation/1. Installing Scala and Spark on Linux (Ubuntu).srt 17KB
  95. 9. Spark DataFrames with Scala/5. GroupBy and Aggregate Functions.srt 17KB
  96. 3. Windows Scala and Spark Set-up and Installation/3. Windows Scala and Spark Installation.srt 17KB
  97. 1. Course Introduction/3. Scala and Spark Overview.srt 16KB
  98. 4. Mac OS Setup and Installation/1. Mac OS Installation and Setup.srt 16KB
  99. 13. Model Evaluation/1. Model Evaluation Overview.srt 15KB
  100. 15. PCA with Spark/4. PCA Spark Exercise - Solutions.srt 15KB
  101. 9. Spark DataFrames with Scala/7. Date and Timestamps.srt 15KB
  102. 14. Clustering with Spark/6. Clustering Project Exercises - Solutions.srt 14KB
  103. 3. Windows Scala and Spark Set-up and Installation/4. Atom Windows Installation.srt 13KB
  104. 11. Regression with Spark/3. Linear Regression Documentation Example.srt 13KB
  105. 8. Scala Programming Level Two/1. Flow Control.srt 13KB
  106. 7. Collections/2. Lists.srt 12KB
  107. 6. Scala Programming Level One/2. Values and Variables.srt 12KB
  108. 14. Clustering with Spark/4. Example of KMeans with Spark.srt 12KB
  109. 12. Classification with Spark/2. Classification Documentation Example.srt 11KB
  110. 6. Scala Programming Level One/1. Arithmetic and Numbers.srt 11KB
  111. 11. Regression with Spark/6. Linear Regression Walkthrough Part 2.srt 10KB
  112. 9. Spark DataFrames with Scala/2. Introduction to Spark DataFrames.srt 10KB
  113. 10. Introduction to Machine Learning/1. Introduction to Machine Learning.srt 10KB
  114. 6. Scala Programming Level One/8. Scala Basics - Assessment Test Solutions.srt 9KB
  115. 7. Collections/5. Maps.srt 9KB
  116. 11. Regression with Spark/1. Introduction to Linear Regression.srt 9KB
  117. 15. PCA with Spark/2. PCA with Spark - Documentation Example.srt 9KB
  118. 8. Scala Programming Level Two/2. For Loops.srt 8KB
  119. 8. Scala Programming Level Two/3. While Loops.srt 8KB
  120. 7. Collections/4. Sets.srt 8KB
  121. 7. Collections/8. Collections Assessment Test - Solutions.srt 8KB
  122. 14. Clustering with Spark/2. KMeans Theory Lecture.srt 7KB
  123. 16. DataBricks and Spark/2. Introduction to Spark Recommendation Systems.srt 6KB
  124. 14. Clustering with Spark/5. Clustering Project Exercise Overview.srt 6KB
  125. 7. Collections/3. Arrays.srt 5KB
  126. 15. PCA with Spark/3. PCA with Spark - Project Exercise.srt 5KB
  127. 15. PCA with Spark/1. PCA Theory Overview.srt 4KB
  128. 8. Scala Programming Level Two/5. Scala Programming Exercises.srt 4KB
  129. 2. Scala IDE Options and Overview/1. ScalaIDE Overview.srt 4KB
  130. 6. Scala Programming Level One/5. Tuples.srt 4KB
  131. 1. Course Introduction/1. Introduction.srt 4KB
  132. 11. Regression with Spark/7. Linear Regression Exercise Project.srt 4KB
  133. 6. Scala Programming Level One/3. Booleans and Comparison Operators.srt 3KB
  134. 12. Classification with Spark/5. Logistic Regression Project Exercise.srt 3KB
  135. 14. Clustering with Spark/1. Introduction to Clustering with Spark.srt 3KB
  136. 9. Spark DataFrames with Scala/9. DataFrame Project Exercises.srt 2KB
  137. 11. Regression with Spark/2. Introduction to Regression Section.srt 2KB
  138. 9. Spark DataFrames with Scala/1. Quick Note for Windows Users!.html 1KB
  139. 7. Collections/1. Intro to Collections.srt 1KB
  140. 3. Windows Scala and Spark Set-up and Installation/1. Windows Introduction.srt 1KB
  141. 16. DataBricks and Spark/5. So what's next.html 1KB
  142. 6. Scala Programming Level One/6. Scala Basics - Assessment Test Exercises.srt 997B
  143. 3. Windows Scala and Spark Set-up and Installation/5. Terminal Exericse.html 859B
  144. 7. Collections/7. Scala Collections Assessment Test.html 697B
  145. 6. Scala Programming Level One/7. Scala Basics Assessment Test Questions.html 691B
  146. 7. Collections/6. Collections - Assessment Test Exercise.srt 658B
  147. 17. BONUS SECTION THANK YOU!/1. Bonus Lecture.html 532B
  148. 14. Clustering with Spark/3. Note on Kmeans.html 498B
  149. 2. Scala IDE Options and Overview/2. Computer Set-up Time!.html 491B
  150. 3. Windows Scala and Spark Set-up and Installation/2. Quick note about Windows Installation..html 441B
  151. 11. Regression with Spark/4. Alternate Linear Regression Data CSV File.html 404B
  152. 1. Course Introduction/2. Course FAQs.html 296B
  153. 9. Spark DataFrames with Scala/8. Quick Note on DataFrame Project.html 269B
  154. 4. Mac OS Setup and Installation/1.1 Mac Install Guide.html 168B
  155. 3. Windows Scala and Spark Set-up and Installation/3.2 Windows Written Install Instructions.html 162B
  156. 5. Linux (Ubuntu) Setup and Installation/1.1 Ubuntu Install Guide.html 161B
  157. 10. Introduction to Machine Learning/3.2 IntelliJ IDEA Site.html 152B
  158. 7. Collections/3.1 Scala lists vs Arrays.html 146B
  159. 10. Introduction to Machine Learning/3.1 Instructions on Connecting IntelliJ to Spark.html 119B
  160. [FreeCourseWorld.Com].url 54B
  161. [DesireCourse.Net].url 51B
  162. [CourseClub.Me].url 48B