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[] Udemy - Apache Spark 2.0 + Python DO Big Data Analytics & ML

  • 收录时间:2020-09-02 15:45:06
  • 文件大小:883MB
  • 下载次数:18
  • 最近下载:2020-12-09 04:51:14
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文件列表

  1. 6. Machine Learning with Spark/6. train Linear Regression Use Case.mp4 45MB
  2. 6. Machine Learning with Spark/11. train Random Forests and PCA Use Case.mp4 40MB
  3. 7. APPLY Your Course Challenge Project/3. Final Solution Review - we did it !.mp4 40MB
  4. 6. Machine Learning with Spark/13. Naive Bayes Classification.mp4 34MB
  5. 3. Spark Programming with Python/5. train Transformations.mp4 33MB
  6. 6. Machine Learning with Spark/5. Linear Regression - fit to a line.mp4 33MB
  7. 6. Machine Learning with Spark/8. train Decision Trees Use Case.mp4 32MB
  8. 6. Machine Learning with Spark/2. Types of Machine Learning.mp4 29MB
  9. 2. Introduction to Apache Spark/2. train Setup your Spark Python environment.mp4 28MB
  10. 5. Spark Streaming/3. train Spark Streaming.mp4 27MB
  11. 4. Spark SQL/2. train SQL Data Frames.mp4 26MB
  12. 6. Machine Learning with Spark/12. Text Pre-processing with TF-IDF.mp4 26MB
  13. 6. Machine Learning with Spark/3. Analyzing results and Errors.mp4 24MB
  14. 6. Machine Learning with Spark/16. train K-Means Clustering Use Case.mp4 22MB
  15. 6. Machine Learning with Spark/17. Recommendation Engines.mp4 21MB
  16. 6. Machine Learning with Spark/15. K-Means Clustering - grouping similar items.mp4 21MB
  17. 6. Machine Learning with Spark/1. Types of Analytics - simple to predictive.mp4 20MB
  18. 6. Machine Learning with Spark/14. train Naive Bayes and Text Pre-processing Use Case.mp4 20MB
  19. 3. Spark Programming with Python/8. train Actions.mp4 19MB
  20. 2. Introduction to Apache Spark/6. Spark Architecture - How it all works..mp4 19MB
  21. 6. Machine Learning with Spark/7. Decision Trees Classification.mp4 18MB
  22. 3. Spark Programming with Python/2. train Loading and Storing Data.mp4 18MB
  23. 6. Machine Learning with Spark/10. Random Forest Classification.mp4 18MB
  24. 3. Spark Programming with Python/13. Advanced Spark.mp4 18MB
  25. 3. Spark Programming with Python/4. Transformations - Change how data looks.mp4 16MB
  26. 3. Spark Programming with Python/11. train Key-Value RDDs.mp4 16MB
  27. 3. Spark Programming with Python/1. Loading and Storing Data.mp4 15MB
  28. 3. Spark Programming with Python/7. Actions - Extract insights from Data.mp4 14MB
  29. 3. Spark Programming with Python/14. train Advanced Spark - Enhanced Capabilities.mp4 14MB
  30. 2. Introduction to Apache Spark/1. Start your Spark engines.mp4 13MB
  31. 6. Machine Learning with Spark/4. Spark ML Concepts - new data types.mp4 13MB
  32. 4. Spark SQL/1. Spark SQL Data Frames - the new era.mp4 13MB
  33. 2. Introduction to Apache Spark/3. train Run your first Spark Program !.mp4 13MB
  34. 6. Machine Learning with Spark/9. Principal Component Analysis.mp4 13MB
  35. 6. Machine Learning with Spark/18. train Recommendation Engines Use Case.mp4 12MB
  36. 1. Kick-start your learning/3. Your Course Guide - Pathway to success.mp4 12MB
  37. 5. Spark Streaming/2. Spark Streaming Architecture - how it works..mp4 12MB
  38. 4. Spark SQL/5. train Temp Tables Views.mp4 11MB
  39. 2. Introduction to Apache Spark/4. Apache Spark eco-system.mp4 10MB
  40. 2. Introduction to Apache Spark/5. RDD The foundation of Spark.mp4 9MB
  41. 5. Spark Streaming/1. Spark Streaming - real time data processing.mp4 9MB
  42. 3. Spark Programming with Python/10. Key-Value RDDs.mp4 7MB
  43. 2. Introduction to Apache Spark/7. Spark Project work flow - How it gets done..mp4 7MB
  44. 1. Kick-start your learning/2. Your learning Process - Learn, Train, Practice and Apply.mp4 6MB
  45. 1. Kick-start your learning/1. Meet Your Mentor.mp4 6MB
  46. 4. Spark SQL/4. Temp Tables Views - Easy querying.mp4 5MB
  47. 8. Conclusion/1. Closing Remarks.mp4 2MB
  48. 1. Kick-start your learning/4.1 SparkPythonDoBigDataAnalytics-Resources.zip.zip 1MB
  49. 7. APPLY Your Course Challenge Project/1.1 Spark Python Course APPLY Project Problem Statement.pdf.pdf 450KB
  50. 7. APPLY Your Course Challenge Project/2.1 Spark Python Course APPLY Project Solution Guide Hints.pdf.pdf 301KB
  51. 6. Machine Learning with Spark/13. Naive Bayes Classification.vtt 25KB
  52. 6. Machine Learning with Spark/5. Linear Regression - fit to a line.vtt 23KB
  53. 6. Machine Learning with Spark/2. Types of Machine Learning.vtt 21KB
  54. 6. Machine Learning with Spark/6. train Linear Regression Use Case.vtt 20KB
  55. 6. Machine Learning with Spark/12. Text Pre-processing with TF-IDF.vtt 18KB
  56. 6. Machine Learning with Spark/3. Analyzing results and Errors.vtt 17KB
  57. 3. Spark Programming with Python/5. train Transformations.vtt 17KB
  58. 6. Machine Learning with Spark/11. train Random Forests and PCA Use Case.vtt 16KB
  59. 6. Machine Learning with Spark/17. Recommendation Engines.vtt 16KB
  60. 7. APPLY Your Course Challenge Project/3. Final Solution Review - we did it !.vtt 15KB
  61. 6. Machine Learning with Spark/15. K-Means Clustering - grouping similar items.vtt 15KB
  62. 6. Machine Learning with Spark/8. train Decision Trees Use Case.vtt 14KB
  63. 6. Machine Learning with Spark/10. Random Forest Classification.vtt 14KB
  64. 6. Machine Learning with Spark/1. Types of Analytics - simple to predictive.vtt 14KB
  65. 5. Spark Streaming/3. train Spark Streaming.vtt 14KB
  66. 6. Machine Learning with Spark/7. Decision Trees Classification.vtt 13KB
  67. 4. Spark SQL/2. train SQL Data Frames.vtt 13KB
  68. 2. Introduction to Apache Spark/2. train Setup your Spark Python environment.vtt 13KB
  69. 2. Introduction to Apache Spark/6. Spark Architecture - How it all works..vtt 13KB
  70. 3. Spark Programming with Python/13. Advanced Spark.vtt 12KB
  71. 3. Spark Programming with Python/4. Transformations - Change how data looks.vtt 12KB
  72. 3. Spark Programming with Python/1. Loading and Storing Data.vtt 11KB
  73. 6. Machine Learning with Spark/16. train K-Means Clustering Use Case.vtt 10KB
  74. 6. Machine Learning with Spark/4. Spark ML Concepts - new data types.vtt 10KB
  75. 3. Spark Programming with Python/7. Actions - Extract insights from Data.vtt 10KB
  76. 6. Machine Learning with Spark/9. Principal Component Analysis.vtt 9KB
  77. 4. Spark SQL/1. Spark SQL Data Frames - the new era.vtt 9KB
  78. 2. Introduction to Apache Spark/1. Start your Spark engines.vtt 9KB
  79. 6. Machine Learning with Spark/14. train Naive Bayes and Text Pre-processing Use Case.vtt 9KB
  80. 3. Spark Programming with Python/2. train Loading and Storing Data.vtt 9KB
  81. 3. Spark Programming with Python/8. train Actions.vtt 8KB
  82. 1. Kick-start your learning/3. Your Course Guide - Pathway to success.vtt 8KB
  83. 3. Spark Programming with Python/11. train Key-Value RDDs.vtt 8KB
  84. 5. Spark Streaming/2. Spark Streaming Architecture - how it works..vtt 8KB
  85. 3. Spark Programming with Python/14. train Advanced Spark - Enhanced Capabilities.vtt 8KB
  86. 2. Introduction to Apache Spark/4. Apache Spark eco-system.vtt 7KB
  87. 2. Introduction to Apache Spark/3. train Run your first Spark Program !.vtt 7KB
  88. 2. Introduction to Apache Spark/5. RDD The foundation of Spark.vtt 6KB
  89. 4. Spark SQL/5. train Temp Tables Views.vtt 6KB
  90. 5. Spark Streaming/1. Spark Streaming - real time data processing.vtt 6KB
  91. 6. Machine Learning with Spark/18. train Recommendation Engines Use Case.vtt 6KB
  92. 2. Introduction to Apache Spark/7. Spark Project work flow - How it gets done..vtt 5KB
  93. 3. Spark Programming with Python/10. Key-Value RDDs.vtt 5KB
  94. 1. Kick-start your learning/2. Your learning Process - Learn, Train, Practice and Apply.vtt 4KB
  95. 1. Kick-start your learning/1. Meet Your Mentor.vtt 3KB
  96. 4. Spark SQL/4. Temp Tables Views - Easy querying.vtt 3KB
  97. 8. Conclusion/1. Closing Remarks.vtt 1KB
  98. 4. Spark SQL/3. @Practice() SQL Data Frames.html 511B
  99. 3. Spark Programming with Python/3. @Practice() Loading and Storing Data.html 347B
  100. 8. Conclusion/2. BONUS Lecture - Your next steps & Discount coupons.html 285B
  101. 3. Spark Programming with Python/15. @Practice() Advanced Spark.html 272B
  102. 3. Spark Programming with Python/6. @Practice() Transformations.html 221B
  103. 3. Spark Programming with Python/12. @Practice() Key-Value RDDs.html 192B
  104. 4. Spark SQL/6. @Practice() Temp Tables Views.html 172B
  105. 2. Introduction to Apache Spark/8. Spark Architecture.html 150B
  106. [FreeCourseLab.com].url 126B
  107. 3. Spark Programming with Python/9. @Practice() Actions.html 117B
  108. 7. APPLY Your Course Challenge Project/2. Hints to help you with the project.html 78B
  109. 1. Kick-start your learning/4. Resource Bundle - Code and Data.html 68B
  110. 7. APPLY Your Course Challenge Project/1. Real world problem Statement - Credit Card defaulters.html 54B