[DesireCourse.Net] Udemy - Spark and Python for Big Data with PySpark


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File Size:   1.59 GB
Creat Time:   2024-05-22
Active Degree:   152
Last Active:   2024-11-15
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Tags:    DesireCourse Net Udemy - Spark and Python for Big Data with PySpark
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File List

  1. 4. AWS EC2 PySpark Set-up/2. Creating the EC2 Instance.mp4 64.49 MB
  2. 17. Spark Streaming with Python/5. Spark Streaming Twitter Project - Part Three.mp4 56.33 MB
  3. 12. Logistic Regression/2. Logistic Regression Example Code Along.mp4 54.65 MB
  4. 10. Introduction to Machine Learning with MLlib/2. Machine Learning with Spark and Python with MLlib.mp4 52.55 MB
  5. 4. AWS EC2 PySpark Set-up/4. Installations on EC2.mp4 51.62 MB
  6. 13. Decision Trees and Random Forests/3. Decision Tress and Random Forest Code Along Examples.mp4 50.28 MB
  7. 1. Introduction to Course/4. What is Spark Why Python.mp4 49.30 MB
  8. 3. Local VirtualBox Set-up/2. Local Installation VirtualBox Part 2.mp4 47.60 MB
  9. 6. AWS EMR Cluster Setup/1. AWS EMR Setup.mp4 46.42 MB
  10. 9. Spark DataFrame Project Exercise/2. DataFrame Project Exercise Solutions.mp4 46.14 MB
  11. 12. Logistic Regression/3. Logistic Regression Code Along.mp4 42.47 MB
  12. 11. Linear Regression/2. Linear Regression Documentation Example.mp4 41.61 MB
  13. 11. Linear Regression/4. Linear Regression Example Code Along.mp4 40.12 MB
  14. 11. Linear Regression/6. Linear Regression Consulting Project Solutions.mp4 39.69 MB
  15. 3. Local VirtualBox Set-up/1. Local Installation VirtualBox Part 1.mp4 38.60 MB
  16. 16. Natural Language Processing/2. NLP Tools Part One.mp4 37.06 MB
  17. 16. Natural Language Processing/4. Natural Language Processing Code Along Project.mp4 36.05 MB
  18. 13. Decision Trees and Random Forests/2. Tree Methods Documentation Examples.mp4 34.98 MB
  19. 12. Logistic Regression/5. Logistic Regression Consulting Project Solutions.mp4 34.79 MB
  20. 17. Spark Streaming with Python/1. Introduction to Streaming with Spark!.mp4 33.42 MB
  21. 7. Python Crash Course/3. Python Crash Course Part One.mp4 30.22 MB
  22. 17. Spark Streaming with Python/4. Spark Streaming Twitter Project - Part Two.mp4 30.00 MB
  23. 8. Spark DataFrame Basics/5. Groupby and Aggregate Operations.mp4 29.52 MB
  24. 17. Spark Streaming with Python/2. Spark Streaming Documentation Example.mp4 29.25 MB
  25. 14. K-means Clustering/3. Clustering Example Code Along.mp4 28.55 MB
  26. 5. Databricks Setup/1. Databricks Setup.mp4 28.29 MB
  27. 8. Spark DataFrame Basics/4. Spark DataFrame Basic Operations.mp4 28.24 MB
  28. 7. Python Crash Course/7. Python Crash Course Exercise Solutions.mp4 25.71 MB
  29. 15. Collaborative Filtering for Recommender Systems/2. Recommender System - Code Along Project.mp4 25.18 MB
  30. 8. Spark DataFrame Basics/7. Dates and Timestamps.mp4 24.71 MB
  31. 7. Python Crash Course/5. Python Crash Course Part Three.mp4 23.73 MB
  32. 14. K-means Clustering/5. Clustering Consulting Project Solutions.mp4 23.59 MB
  33. 7. Python Crash Course/4. Python Crash Course Part Two.mp4 22.80 MB
  34. 8. Spark DataFrame Basics/2. Spark DataFrame Basics.mp4 21.59 MB
  35. 14. K-means Clustering/2. KMeans Clustering Documentation Example.mp4 21.36 MB
  36. 12. Logistic Regression/1. Logistic Regression Theory and Reading.mp4 21.14 MB
  37. 8. Spark DataFrame Basics/3. Spark DataFrame Basics Part Two.mp4 20.19 MB
  38. 10. Introduction to Machine Learning with MLlib/1. Introduction to Machine Learning and ISLR.mp4 19.38 MB
  39. 16. Natural Language Processing/3. NLP Tools Part Two.mp4 19.31 MB
  40. 8. Spark DataFrame Basics/6. Missing Data.mp4 17.63 MB
  41. 13. Decision Trees and Random Forests/5. Random Forest Classification Consulting Project Solutions.mp4 16.31 MB
  42. 3. Local VirtualBox Set-up/3. Setting up PySpark.mp4 15.92 MB
  43. 13. Decision Trees and Random Forests/1. Tree Methods Theory and Reading.mp4 15.03 MB
  44. 1. Introduction to Course/2. Course Overview.mp4 14.79 MB
  45. 16. Natural Language Processing/1. Introduction to Natural Language Processing.mp4 14.67 MB
  46. 7. Python Crash Course/2. Jupyter Notebook Overview.mp4 13.54 MB
  47. 14. K-means Clustering/1. K-means Clustering Theory and Reading.mp4 13.21 MB
  48. 15. Collaborative Filtering for Recommender Systems/1. Introduction to Recommender Systems.mp4 12.98 MB
  49. 11. Linear Regression/3. Regression Evaluation.mp4 12.25 MB
  50. 9. Spark DataFrame Project Exercise/1. DataFrame Project Exercise.mp4 12.18 MB

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