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

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

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种子哈希：1f89a95e0d95339b237f597d7f85a75ac0000cc4
文件大小： 1.35G
已经下载：2439次
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收录时间：2022-01-10
最近下载：2024-12-11

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文件列表

  • 12. Classification with Spark/4. Spark Classification - Logistic Regression Example - Part 2.mp4 58.8 MB
  • 13. Model Evaluation/2. Spark Model Evaluation - Documentation Example.mp4 56.0 MB
  • 16. DataBricks and Spark/4. Zeppelin Notebooks on AWS Elastic MapReduce.mp4 54.9 MB
  • 13. Model Evaluation/3. Spark - Model Evaluation - Regression Example.mp4 54.8 MB
  • 9. Spark DataFrames with Scala/4. Spark DataFrame Operations.mp4 51.9 MB
  • 16. DataBricks and Spark/1. Databricks Overview.mp4 50.3 MB
  • 12. Classification with Spark/3. Spark Classification - Logistic Regression Example - Part 1.mp4 45.0 MB
  • 9. Spark DataFrames with Scala/10. DataFrame Project - Solutions.mp4 43.4 MB
  • 11. Regression with Spark/8. Linear Regression Project Solutions.mp4 42.7 MB
  • 12. Classification with Spark/6. Classification Project Solutions.mp4 42.0 MB
  • 11. Regression with Spark/5. Linear Regression Walkthrough Part 1.mp4 41.5 MB
  • 9. Spark DataFrames with Scala/3. DataFrames Overview.mp4 37.7 MB
  • 10. Introduction to Machine Learning/2. Machine Learning with Spark.mp4 34.0 MB
  • 3. Windows Scala and Spark Set-up and Installation/3. Windows Scala and Spark Installation.mp4 31.6 MB
  • 9. Spark DataFrames with Scala/5. GroupBy and Aggregate Functions.mp4 30.7 MB
  • 8. Scala Programming Level Two/6. Scala Programming Exercises - Solutions.mp4 30.5 MB
  • 5. Linux (Ubuntu) Setup and Installation/1. Installing Scala and Spark on Linux (Ubuntu).mp4 30.3 MB
  • 16. DataBricks and Spark/3. Spark Recommender System Implementation.mp4 29.6 MB
  • 15. PCA with Spark/4. PCA Spark Exercise - Solutions.mp4 28.4 MB
  • 3. Windows Scala and Spark Set-up and Installation/4. Atom Windows Installation.mp4 28.0 MB
  • 9. Spark DataFrames with Scala/6. Missing data.mp4 27.3 MB
  • 14. Clustering with Spark/6. Clustering Project Exercises - Solutions.mp4 27.1 MB
  • 9. Spark DataFrames with Scala/2. Introduction to Spark DataFrames.mp4 26.9 MB
  • 9. Spark DataFrames with Scala/7. Date and Timestamps.mp4 26.7 MB
  • 4. Mac OS Setup and Installation/1. Mac OS Installation and Setup.mp4 25.2 MB
  • 11. Regression with Spark/3. Linear Regression Documentation Example.mp4 25.1 MB
  • 10. Introduction to Machine Learning/3. IntelliJ IDEA Installation Overview.mp4 24.7 MB
  • 12. Classification with Spark/1. Introduction to Classification.mp4 23.1 MB
  • 8. Scala Programming Level Two/4. Functions.mp4 22.7 MB
  • 6. Scala Programming Level One/4. Strings and Basic Regex.mp4 22.7 MB
  • 12. Classification with Spark/2. Classification Documentation Example.mp4 22.4 MB
  • 1. Course Introduction/3. Scala and Spark Overview.mp4 20.2 MB
  • 14. Clustering with Spark/4. Example of KMeans with Spark.mp4 20.0 MB
  • 13. Model Evaluation/1. Model Evaluation Overview.mp4 19.9 MB
  • 11. Regression with Spark/6. Linear Regression Walkthrough Part 2.mp4 18.3 MB
  • 8. Scala Programming Level Two/1. Flow Control.mp4 15.5 MB
  • 7. Collections/2. Lists.mp4 15.2 MB
  • 6. Scala Programming Level One/2. Values and Variables.mp4 13.7 MB
  • 10. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 13.5 MB
  • 15. PCA with Spark/2. PCA with Spark - Documentation Example.mp4 13.1 MB
  • 6. Scala Programming Level One/1. Arithmetic and Numbers.mp4 12.8 MB
  • 7. Collections/5. Maps.mp4 12.8 MB
  • 11. Regression with Spark/1. Introduction to Linear Regression.mp4 12.3 MB
  • 7. Collections/8. Collections Assessment Test - Solutions.mp4 11.1 MB
  • 14. Clustering with Spark/5. Clustering Project Exercise Overview.mp4 11.1 MB
  • 7. Collections/4. Sets.mp4 10.8 MB
  • 8. Scala Programming Level Two/3. While Loops.mp4 10.7 MB
  • 8. Scala Programming Level Two/2. For Loops.mp4 10.6 MB
  • 6. Scala Programming Level One/8. Scala Basics - Assessment Test Solutions.mp4 10.5 MB
  • 14. Clustering with Spark/2. KMeans Theory Lecture.mp4 9.5 MB
  • 15. PCA with Spark/3. PCA with Spark - Project Exercise.mp4 9.1 MB
  • 1. Course Introduction/1. Introduction.mp4 9.0 MB
  • 16. DataBricks and Spark/2. Introduction to Spark Recommendation Systems.mp4 8.1 MB
  • 7. Collections/3. Arrays.mp4 6.8 MB
  • 11. Regression with Spark/7. Linear Regression Exercise Project.mp4 6.7 MB
  • 15. PCA with Spark/1. PCA Theory Overview.mp4 6.2 MB
  • 8. Scala Programming Level Two/5. Scala Programming Exercises.mp4 5.9 MB
  • 2. Scala IDE Options and Overview/1. ScalaIDE Overview.mp4 5.8 MB
  • 12. Classification with Spark/5. Logistic Regression Project Exercise.mp4 5.5 MB
  • 6. Scala Programming Level One/5. Tuples.mp4 4.5 MB
  • 6. Scala Programming Level One/3. Booleans and Comparison Operators.mp4 3.9 MB
  • 9. Spark DataFrames with Scala/9. DataFrame Project Exercises.mp4 3.8 MB
  • 14. Clustering with Spark/1. Introduction to Clustering with Spark.mp4 3.3 MB
  • 11. Regression with Spark/2. Introduction to Regression Section.mp4 2.4 MB
  • 1. Course Introduction/2.2 Spark PDF Slides.zip.zip 1.6 MB
  • 7. Collections/1. Intro to Collections.mp4 1.5 MB
  • 3. Windows Scala and Spark Set-up and Installation/1. Windows Introduction.mp4 1.4 MB
  • 6. Scala Programming Level One/6. Scala Basics - Assessment Test Exercises.mp4 1.2 MB
  • 1. Course Introduction/2.1 Scala-and-Spark-Bootcamp-master.zip.zip 1.1 MB
  • 7. Collections/6. Collections - Assessment Test Exercise.mp4 1.1 MB
  • 11. Regression with Spark/4.2 Clean_USA_Housing.csv.csv 479.7 kB
  • 3. Windows Scala and Spark Set-up and Installation/3.1 winutils.exe.exe 108.0 kB
  • 11. Regression with Spark/4.1 Clean_Ecommerce.csv.csv 62.4 kB
  • 13. Model Evaluation/3. Spark - Model Evaluation - Regression Example.srt 33.5 kB
  • 13. Model Evaluation/2. Spark Model Evaluation - Documentation Example.srt 32.0 kB
  • 16. DataBricks and Spark/4. Zeppelin Notebooks on AWS Elastic MapReduce.srt 31.2 kB
  • 9. Spark DataFrames with Scala/10. DataFrame Project - Solutions.srt 29.2 kB
  • 9. Spark DataFrames with Scala/3. DataFrames Overview.srt 28.0 kB
  • 12. Classification with Spark/4. Spark Classification - Logistic Regression Example - Part 2.srt 28.0 kB
  • 16. DataBricks and Spark/1. Databricks Overview.srt 27.2 kB
  • 9. Spark DataFrames with Scala/4. Spark DataFrame Operations.srt 26.0 kB
  • 11. Regression with Spark/8. Linear Regression Project Solutions.srt 23.6 kB
  • 12. Classification with Spark/3. Spark Classification - Logistic Regression Example - Part 1.srt 23.1 kB
  • 8. Scala Programming Level Two/6. Scala Programming Exercises - Solutions.srt 22.8 kB
  • 11. Regression with Spark/5. Linear Regression Walkthrough Part 1.srt 22.8 kB
  • 12. Classification with Spark/6. Classification Project Solutions.srt 20.3 kB
  • 9. Spark DataFrames with Scala/6. Missing data.srt 19.5 kB
  • 10. Introduction to Machine Learning/2. Machine Learning with Spark.srt 19.3 kB
  • 6. Scala Programming Level One/4. Strings and Basic Regex.srt 18.6 kB
  • 16. DataBricks and Spark/3. Spark Recommender System Implementation.srt 18.5 kB
  • 8. Scala Programming Level Two/4. Functions.srt 18.3 kB
  • 12. Classification with Spark/1. Introduction to Classification.srt 18.1 kB
  • 10. Introduction to Machine Learning/3. IntelliJ IDEA Installation Overview.srt 17.9 kB
  • 5. Linux (Ubuntu) Setup and Installation/1. Installing Scala and Spark on Linux (Ubuntu).srt 17.6 kB
  • 9. Spark DataFrames with Scala/5. GroupBy and Aggregate Functions.srt 17.3 kB
  • 3. Windows Scala and Spark Set-up and Installation/3. Windows Scala and Spark Installation.srt 17.0 kB
  • 1. Course Introduction/3. Scala and Spark Overview.srt 16.2 kB
  • 4. Mac OS Setup and Installation/1. Mac OS Installation and Setup.srt 16.1 kB
  • 13. Model Evaluation/1. Model Evaluation Overview.srt 15.4 kB
  • 15. PCA with Spark/4. PCA Spark Exercise - Solutions.srt 15.4 kB
  • 9. Spark DataFrames with Scala/7. Date and Timestamps.srt 15.1 kB
  • 14. Clustering with Spark/6. Clustering Project Exercises - Solutions.srt 14.0 kB
  • 3. Windows Scala and Spark Set-up and Installation/4. Atom Windows Installation.srt 13.8 kB
  • 11. Regression with Spark/3. Linear Regression Documentation Example.srt 13.5 kB
  • 8. Scala Programming Level Two/1. Flow Control.srt 13.1 kB
  • 7. Collections/2. Lists.srt 12.1 kB
  • 6. Scala Programming Level One/2. Values and Variables.srt 12.1 kB
  • 14. Clustering with Spark/4. Example of KMeans with Spark.srt 11.8 kB
  • 12. Classification with Spark/2. Classification Documentation Example.srt 11.7 kB
  • 6. Scala Programming Level One/1. Arithmetic and Numbers.srt 11.4 kB
  • 11. Regression with Spark/6. Linear Regression Walkthrough Part 2.srt 10.7 kB
  • 9. Spark DataFrames with Scala/2. Introduction to Spark DataFrames.srt 10.2 kB
  • 10. Introduction to Machine Learning/1. Introduction to Machine Learning.srt 10.0 kB
  • 6. Scala Programming Level One/8. Scala Basics - Assessment Test Solutions.srt 9.0 kB
  • 7. Collections/5. Maps.srt 8.9 kB
  • 11. Regression with Spark/1. Introduction to Linear Regression.srt 8.9 kB
  • 15. PCA with Spark/2. PCA with Spark - Documentation Example.srt 8.7 kB
  • 8. Scala Programming Level Two/2. For Loops.srt 8.6 kB
  • 8. Scala Programming Level Two/3. While Loops.srt 8.6 kB
  • 7. Collections/4. Sets.srt 8.5 kB
  • 7. Collections/8. Collections Assessment Test - Solutions.srt 8.4 kB
  • 14. Clustering with Spark/2. KMeans Theory Lecture.srt 7.2 kB
  • 16. DataBricks and Spark/2. Introduction to Spark Recommendation Systems.srt 6.4 kB
  • 14. Clustering with Spark/5. Clustering Project Exercise Overview.srt 6.1 kB
  • 7. Collections/3. Arrays.srt 5.5 kB
  • 15. PCA with Spark/3. PCA with Spark - Project Exercise.srt 5.1 kB
  • 15. PCA with Spark/1. PCA Theory Overview.srt 4.4 kB
  • 8. Scala Programming Level Two/5. Scala Programming Exercises.srt 4.4 kB
  • 2. Scala IDE Options and Overview/1. ScalaIDE Overview.srt 4.4 kB
  • 6. Scala Programming Level One/5. Tuples.srt 3.9 kB
  • 1. Course Introduction/1. Introduction.srt 3.9 kB
  • 11. Regression with Spark/7. Linear Regression Exercise Project.srt 3.7 kB
  • 6. Scala Programming Level One/3. Booleans and Comparison Operators.srt 3.3 kB
  • 12. Classification with Spark/5. Logistic Regression Project Exercise.srt 3.2 kB
  • 14. Clustering with Spark/1. Introduction to Clustering with Spark.srt 2.7 kB
  • 9. Spark DataFrames with Scala/9. DataFrame Project Exercises.srt 2.5 kB
  • 11. Regression with Spark/2. Introduction to Regression Section.srt 1.9 kB
  • 9. Spark DataFrames with Scala/1. Quick Note for Windows Users!.html 1.3 kB
  • 7. Collections/1. Intro to Collections.srt 1.2 kB
  • 3. Windows Scala and Spark Set-up and Installation/1. Windows Introduction.srt 1.2 kB
  • 16. DataBricks and Spark/5. So what's next.html 1.1 kB
  • 6. Scala Programming Level One/6. Scala Basics - Assessment Test Exercises.srt 997 Bytes
  • 3. Windows Scala and Spark Set-up and Installation/5. Terminal Exericse.html 859 Bytes
  • 7. Collections/7. Scala Collections Assessment Test.html 697 Bytes
  • 6. Scala Programming Level One/7. Scala Basics Assessment Test Questions.html 691 Bytes
  • 7. Collections/6. Collections - Assessment Test Exercise.srt 658 Bytes
  • 17. BONUS SECTION THANK YOU!/1. Bonus Lecture.html 532 Bytes
  • 14. Clustering with Spark/3. Note on Kmeans.html 498 Bytes
  • 2. Scala IDE Options and Overview/2. Computer Set-up Time!.html 491 Bytes
  • 3. Windows Scala and Spark Set-up and Installation/2. Quick note about Windows Installation..html 441 Bytes
  • 11. Regression with Spark/4. Alternate Linear Regression Data CSV File.html 404 Bytes
  • 1. Course Introduction/2. Course FAQs.html 296 Bytes
  • 9. Spark DataFrames with Scala/8. Quick Note on DataFrame Project.html 269 Bytes
  • 4. Mac OS Setup and Installation/1.1 Mac Install Guide.html 168 Bytes
  • 3. Windows Scala and Spark Set-up and Installation/3.2 Windows Written Install Instructions.html 162 Bytes
  • 5. Linux (Ubuntu) Setup and Installation/1.1 Ubuntu Install Guide.html 161 Bytes
  • 10. Introduction to Machine Learning/3.2 IntelliJ IDEA Site.html 152 Bytes
  • 7. Collections/3.1 Scala lists vs Arrays.html 146 Bytes
  • 10. Introduction to Machine Learning/3.1 Instructions on Connecting IntelliJ to Spark.html 119 Bytes
  • [FreeCourseWorld.Com].url 54 Bytes
  • [DesireCourse.Net].url 51 Bytes
  • [CourseClub.Me].url 48 Bytes

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