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[Tutorialsplanet.NET] Udemy - Spark and Python for Big Data with PySpark

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视频 2022-9-4 15:18 2024-5-18 09:02 142 1.55 GB 63
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Tutorialsplanet NET Udemy - Spark and Python for Big Data with PySpark

文件列表
  1. 1. Introduction to Course/1. Introduction.mp411.61MB
  2. 1. Introduction to Course/2. Course Overview.mp414.44MB
  3. 1. Introduction to Course/4. What is Spark Why Python.mp448.15MB
  4. 10. Introduction to Machine Learning with MLlib/1. Introduction to Machine Learning and ISLR.mp418.92MB
  5. 10. Introduction to Machine Learning with MLlib/2. Machine Learning with Spark and Python with MLlib.mp451.33MB
  6. 11. Linear Regression/1. Linear Regression Theory and Reading.mp49.89MB
  7. 11. Linear Regression/2. Linear Regression Documentation Example.mp440.64MB
  8. 11. Linear Regression/3. Regression Evaluation.mp411.97MB
  9. 11. Linear Regression/4. Linear Regression Example Code Along.mp439.18MB
  10. 11. Linear Regression/5. Linear Regression Consulting Project.mp46.75MB
  11. 11. Linear Regression/6. Linear Regression Consulting Project Solutions.mp438.76MB
  12. 12. Logistic Regression/1. Logistic Regression Theory and Reading.mp420.65MB
  13. 12. Logistic Regression/2. Logistic Regression Example Code Along.mp453.37MB
  14. 12. Logistic Regression/3. Logistic Regression Code Along.mp441.48MB
  15. 12. Logistic Regression/4. Logistic Regression Consulting Project.mp46.34MB
  16. 12. Logistic Regression/5. Logistic Regression Consulting Project Solutions.mp433.97MB
  17. 13. Decision Trees and Random Forests/1. Tree Methods Theory and Reading.mp414.66MB
  18. 13. Decision Trees and Random Forests/2. Tree Methods Documentation Examples.mp434.16MB
  19. 13. Decision Trees and Random Forests/3. Decision Tress and Random Forest Code Along Examples.mp449.11MB
  20. 13. Decision Trees and Random Forests/4. Random Forest - Classification Consulting Project.mp45.41MB
  21. 13. Decision Trees and Random Forests/5. Random Forest Classification Consulting Project Solutions.mp415.92MB
  22. 14. K-means Clustering/1. K-means Clustering Theory and Reading.mp412.9MB
  23. 14. K-means Clustering/2. KMeans Clustering Documentation Example.mp420.85MB
  24. 14. K-means Clustering/3. Clustering Example Code Along.mp427.88MB
  25. 14. K-means Clustering/4. Clustering Consulting Project.mp46.59MB
  26. 14. K-means Clustering/5. Clustering Consulting Project Solutions.mp423.04MB
  27. 15. Collaborative Filtering for Recommender Systems/1. Introduction to Recommender Systems.mp412.68MB
  28. 15. Collaborative Filtering for Recommender Systems/2. Recommender System - Code Along Project.mp424.6MB
  29. 16. Natural Language Processing/1. Introduction to Natural Language Processing.mp414.33MB
  30. 16. Natural Language Processing/2. NLP Tools Part One.mp436.19MB
  31. 16. Natural Language Processing/3. NLP Tools Part Two.mp418.87MB
  32. 16. Natural Language Processing/4. Natural Language Processing Code Along Project.mp435.21MB
  33. 17. Spark Streaming with Python/1. Introduction to Streaming with Spark!.mp432.63MB
  34. 17. Spark Streaming with Python/2. Spark Streaming Documentation Example.mp428.58MB
  35. 17. Spark Streaming with Python/3. Spark Streaming Twitter Project - Part.mp411.79MB
  36. 17. Spark Streaming with Python/4. Spark Streaming Twitter Project - Part Two.mp429.31MB
  37. 17. Spark Streaming with Python/5. Spark Streaming Twitter Project - Part Three.mp455MB
  38. 2. Setting up Python with Spark/1. Set-up Overview.mp410.83MB
  39. 3. Local VirtualBox Set-up/1. Local Installation VirtualBox Part 1.mp437.69MB
  40. 3. Local VirtualBox Set-up/2. Local Installation VirtualBox Part 2.mp446.49MB
  41. 3. Local VirtualBox Set-up/3. Setting up PySpark.mp415.55MB
  42. 4. AWS EC2 PySpark Set-up/1. AWS EC2 Set-up Guide.mp45.29MB
  43. 4. AWS EC2 PySpark Set-up/2. Creating the EC2 Instance.mp462.98MB
  44. 4. AWS EC2 PySpark Set-up/3. SSH with Mac or Linux.mp49.25MB
  45. 4. AWS EC2 PySpark Set-up/4. Installations on EC2.mp450.41MB
  46. 5. Databricks Setup/1. Databricks Setup.mp427.62MB
  47. 6. AWS EMR Cluster Setup/1. AWS EMR Setup.mp445.34MB
  48. 7. Python Crash Course/1. Introduction to Python Crash Course.mp43.09MB
  49. 7. Python Crash Course/2. Jupyter Notebook Overview.mp413.21MB
  50. 7. Python Crash Course/3. Python Crash Course Part One.mp429.53MB
  51. 7. Python Crash Course/4. Python Crash Course Part Two.mp422.25MB
  52. 7. Python Crash Course/5. Python Crash Course Part Three.mp423.17MB
  53. 7. Python Crash Course/6. Python Crash Course Exercises.mp45.01MB
  54. 7. Python Crash Course/7. Python Crash Course Exercise Solutions.mp425.1MB
  55. 8. Spark DataFrame Basics/1. Introduction to Spark DataFrames.mp44.7MB
  56. 8. Spark DataFrame Basics/2. Spark DataFrame Basics.mp421.08MB
  57. 8. Spark DataFrame Basics/3. Spark DataFrame Basics Part Two.mp419.72MB
  58. 8. Spark DataFrame Basics/4. Spark DataFrame Basic Operations.mp427.58MB
  59. 8. Spark DataFrame Basics/5. Groupby and Aggregate Operations.mp428.82MB
  60. 8. Spark DataFrame Basics/6. Missing Data.mp417.23MB
  61. 8. Spark DataFrame Basics/7. Dates and Timestamps.mp424.13MB
  62. 9. Spark DataFrame Project Exercise/1. DataFrame Project Exercise.mp411.9MB
  63. 9. Spark DataFrame Project Exercise/2. DataFrame Project Exercise Solutions.mp445.06MB
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