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[] spark-and-python-for-big-data-with-pyspark

  • 收录时间:2018-03-04 11:35:43
  • 文件大小:2GB
  • 下载次数:255
  • 最近下载:2021-01-20 19:43:20
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文件列表

  1. 04 AWS EC2 PySpark Set-up/011 Creating the EC2 Instance.mp4 63MB
  2. 17 Spark Streaming with Python/064 Spark Streaming Twitter Project - Part Three.mp4 55MB
  3. 12 Logistic Regression/041 Logistic Regression Example Code Along.mp4 53MB
  4. 10 Introduction to Machine Learning with MLlib/033 Machine Learning with Spark and Python with MLlib.mp4 51MB
  5. 04 AWS EC2 PySpark Set-up/013 Installations on EC2.mp4 50MB
  6. 13 Decision Trees and Random Forests/046 Decision Tress and Random Forest Code Along Examples.mp4 49MB
  7. 01 Introduction to Course/004 What is Spark Why Python.mp4 48MB
  8. 03 Local VirtualBox Set-up/008 Local Installation VirtualBox Part 2.mp4 46MB
  9. 06 AWS EMR Cluster Setup/015 AWS EMR Setup.mp4 45MB
  10. 09 Spark DataFrame Project Exercise/031 DataFrame Project Exercise Solutions.mp4 45MB
  11. 11 Linear Regression/035 Linear Regression Documentation Example.mp4 41MB
  12. 11 Linear Regression/037 Linear Regression Example Code Along.mp4 39MB
  13. 11 Linear Regression/039 Linear Regression Consulting Project Solutions.mp4 39MB
  14. 03 Local VirtualBox Set-up/007 Local Installation VirtualBox Part 1.mp4 38MB
  15. 16 Natural Language Processing/057 NLP Tools Part One.mp4 36MB
  16. 16 Natural Language Processing/059 Natural Language Processing Code Along Project.mp4 35MB
  17. 13 Decision Trees and Random Forests/045 Tree Methods Documentation Examples.mp4 34MB
  18. 12 Logistic Regression/043 Logistic Regression Consulting Project Solutions.mp4 34MB
  19. 17 Spark Streaming with Python/060 Introduction to Streaming with Spark.mp4 33MB
  20. 07 Python Crash Course/018 Python Crash Course Part One.mp4 30MB
  21. 17 Spark Streaming with Python/063 Spark Streaming Twitter Project - Part Two.mp4 29MB
  22. 08 Spark DataFrame Basics/027 Groupby and Aggregate Operations.mp4 29MB
  23. 17 Spark Streaming with Python/061 Spark Streaming Documentation Example.mp4 29MB
  24. 14 K-means Clustering/051 Clustering Example Code Along.mp4 28MB
  25. 05 Databricks Setup/014 Databricks Setup.mp4 28MB
  26. 08 Spark DataFrame Basics/026 Spark DataFrame Basic Operations.mp4 28MB
  27. 07 Python Crash Course/022 Python Crash Course Exercise Solutions.mp4 25MB
  28. 15 Collaborative Filtering for Recommender Systems/055 Recommender System - Code Along Project.mp4 25MB
  29. 08 Spark DataFrame Basics/029 Dates and Timestamps.mp4 24MB
  30. 07 Python Crash Course/020 Python Crash Course Part Three.mp4 23MB
  31. 14 K-means Clustering/053 Clustering Consulting Project Solutions.mp4 23MB
  32. 07 Python Crash Course/019 Python Crash Course Part Two.mp4 22MB
  33. 08 Spark DataFrame Basics/024 Spark DataFrame Basics.mp4 21MB
  34. 14 K-means Clustering/050 KMeans Clustering Documentation Example.mp4 21MB
  35. 12 Logistic Regression/040 Logistic Regression Theory and Reading.mp4 21MB
  36. 08 Spark DataFrame Basics/025 Spark DataFrame Basics Part Two.mp4 20MB
  37. 10 Introduction to Machine Learning with MLlib/032 Introduction to Machine Learning and ISLR.mp4 19MB
  38. 16 Natural Language Processing/058 NLP Tools Part Two.mp4 19MB
  39. 08 Spark DataFrame Basics/028 Missing Data.mp4 17MB
  40. 13 Decision Trees and Random Forests/048 Random Forest Classification Consulting Project Solutions.mp4 16MB
  41. 03 Local VirtualBox Set-up/009 Setting up PySpark.mp4 16MB
  42. 13 Decision Trees and Random Forests/044 Tree Methods Theory and Reading.mp4 15MB
  43. 01 Introduction to Course/002 Course Overview.mp4 14MB
  44. 16 Natural Language Processing/056 Introduction to Natural Language Processing.mp4 14MB
  45. 07 Python Crash Course/017 Jupyter Notebook Overview.mp4 13MB
  46. 14 K-means Clustering/049 K-means Clustering Theory and Reading.mp4 13MB
  47. 15 Collaborative Filtering for Recommender Systems/054 Introduction to Recommender Systems.mp4 13MB
  48. 11 Linear Regression/036 Regression Evaluation.mp4 12MB
  49. 09 Spark DataFrame Project Exercise/030 DataFrame Project Exercise.mp4 12MB
  50. 17 Spark Streaming with Python/062 Spark Streaming Twitter Project - Part.mp4 12MB
  51. 01 Introduction to Course/001 Introduction.mp4 12MB
  52. 02 Setting up Python with Spark/005 Set-up Overview.mp4 11MB
  53. 11 Linear Regression/034 Linear Regression Theory and Reading.mp4 10MB
  54. 04 AWS EC2 PySpark Set-up/012 SSH with Mac or Linux.mp4 9MB
  55. 11 Linear Regression/038 Linear Regression Consulting Project.mp4 7MB
  56. 14 K-means Clustering/052 Clustering Consulting Project.mp4 7MB
  57. 12 Logistic Regression/042 Logistic Regression Consulting Project.mp4 6MB
  58. 13 Decision Trees and Random Forests/047 Random Forest - Classification Consulting Project.mp4 5MB
  59. 04 AWS EC2 PySpark Set-up/010 AWS EC2 Set-up Guide.mp4 5MB
  60. 07 Python Crash Course/021 Python Crash Course Exercises.mp4 5MB
  61. 08 Spark DataFrame Basics/023 Introduction to Spark DataFrames.mp4 5MB
  62. 07 Python Crash Course/016 Introduction to Python Crash Course.mp4 3MB
  63. 01 Introduction to Course/attached_files/002 Course Overview/Python-and-Spark-for-Big-Data-master.zip 2MB
  64. 01 Introduction to Course/attached_files/003 Frequently Asked Questions/Python-and-Spark-for-Big-Data-master.zip 2MB
  65. 11 Linear Regression/attached_files/037 Linear Regression Example Code Along/Ecommerce-Customers.csv 85KB
  66. 18 Bonus/065 BONUS LECTURE.html 2KB
  67. 01 Introduction to Course/003 Frequently Asked Questions.html 759B
  68. 02 Setting up Python with Spark/006 Note on Installation Sections.html 662B
  69. Freetutorials.Us.url 119B
  70. [FreeTutorials.Us].txt 75B