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

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

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种子哈希：a0569e3e2b64b3162a2449255de85873f7f76f04
文件大小：883.46M
已经下载：150次
下载速度：极快
收录时间：2021-03-31
最近下载：2024-12-03

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文件列表

  • 6. Machine Learning with Spark/6. train Linear Regression Use Case.mp4 47.0 MB
  • 6. Machine Learning with Spark/11. train Random Forests and PCA Use Case.mp4 42.4 MB
  • 7. APPLY Your Course Challenge Project/3. Final Solution Review - we did it !.mp4 41.7 MB
  • 6. Machine Learning with Spark/13. Naive Bayes Classification.mp4 35.8 MB
  • 3. Spark Programming with Python/5. train Transformations.mp4 35.0 MB
  • 6. Machine Learning with Spark/5. Linear Regression - fit to a line.mp4 34.6 MB
  • 6. Machine Learning with Spark/8. train Decision Trees Use Case.mp4 33.7 MB
  • 6. Machine Learning with Spark/2. Types of Machine Learning.mp4 30.5 MB
  • 2. Introduction to Apache Spark/2. train Setup your Spark Python environment.mp4 29.0 MB
  • 5. Spark Streaming/3. train Spark Streaming.mp4 28.5 MB
  • 4. Spark SQL/2. train SQL Data Frames.mp4 27.3 MB
  • 6. Machine Learning with Spark/12. Text Pre-processing with TF-IDF.mp4 27.2 MB
  • 6. Machine Learning with Spark/3. Analyzing results and Errors.mp4 25.0 MB
  • 6. Machine Learning with Spark/16. train K-Means Clustering Use Case.mp4 23.6 MB
  • 6. Machine Learning with Spark/17. Recommendation Engines.mp4 21.6 MB
  • 6. Machine Learning with Spark/15. K-Means Clustering - grouping similar items.mp4 21.6 MB
  • 6. Machine Learning with Spark/1. Types of Analytics - simple to predictive.mp4 21.5 MB
  • 6. Machine Learning with Spark/14. train Naive Bayes and Text Pre-processing Use Case.mp4 20.8 MB
  • 3. Spark Programming with Python/8. train Actions.mp4 19.6 MB
  • 2. Introduction to Apache Spark/6. Spark Architecture - How it all works..mp4 19.6 MB
  • 6. Machine Learning with Spark/7. Decision Trees Classification.mp4 19.3 MB
  • 3. Spark Programming with Python/2. train Loading and Storing Data.mp4 19.0 MB
  • 6. Machine Learning with Spark/10. Random Forest Classification.mp4 18.7 MB
  • 3. Spark Programming with Python/13. Advanced Spark.mp4 18.6 MB
  • 3. Spark Programming with Python/4. Transformations - Change how data looks.mp4 17.0 MB
  • 3. Spark Programming with Python/11. train Key-Value RDDs.mp4 17.0 MB
  • 3. Spark Programming with Python/1. Loading and Storing Data.mp4 15.4 MB
  • 3. Spark Programming with Python/7. Actions - Extract insights from Data.mp4 14.9 MB
  • 3. Spark Programming with Python/14. train Advanced Spark - Enhanced Capabilities.mp4 14.9 MB
  • 2. Introduction to Apache Spark/1. Start your Spark engines.mp4 14.1 MB
  • 6. Machine Learning with Spark/4. Spark ML Concepts - new data types.mp4 14.0 MB
  • 4. Spark SQL/1. Spark SQL Data Frames - the new era.mp4 13.9 MB
  • 2. Introduction to Apache Spark/3. train Run your first Spark Program !.mp4 13.8 MB
  • 6. Machine Learning with Spark/9. Principal Component Analysis.mp4 13.2 MB
  • 6. Machine Learning with Spark/18. train Recommendation Engines Use Case.mp4 12.8 MB
  • 1. Kick-start your learning/3. Your Course Guide - Pathway to success.mp4 12.8 MB
  • 5. Spark Streaming/2. Spark Streaming Architecture - how it works..mp4 12.7 MB
  • 4. Spark SQL/5. train Temp Tables Views.mp4 12.0 MB
  • 2. Introduction to Apache Spark/4. Apache Spark eco-system.mp4 10.5 MB
  • 2. Introduction to Apache Spark/5. RDD The foundation of Spark.mp4 9.5 MB
  • 5. Spark Streaming/1. Spark Streaming - real time data processing.mp4 9.2 MB
  • 3. Spark Programming with Python/10. Key-Value RDDs.mp4 7.6 MB
  • 2. Introduction to Apache Spark/7. Spark Project work flow - How it gets done..mp4 6.9 MB
  • 1. Kick-start your learning/2. Your learning Process - Learn, Train, Practice and Apply.mp4 6.5 MB
  • 1. Kick-start your learning/1. Meet Your Mentor.mp4 6.1 MB
  • 4. Spark SQL/4. Temp Tables Views - Easy querying.mp4 4.8 MB
  • 8. Conclusion/1. Closing Remarks.mp4 2.3 MB
  • 1. Kick-start your learning/4.1 SparkPythonDoBigDataAnalytics-Resources.zip.zip 1.5 MB
  • 7. APPLY Your Course Challenge Project/1.1 Spark Python Course APPLY Project Problem Statement.pdf.pdf 460.5 kB
  • 7. APPLY Your Course Challenge Project/2.1 Spark Python Course APPLY Project Solution Guide Hints.pdf.pdf 308.5 kB
  • 6. Machine Learning with Spark/13. Naive Bayes Classification.vtt 25.2 kB
  • 6. Machine Learning with Spark/5. Linear Regression - fit to a line.vtt 23.4 kB
  • 6. Machine Learning with Spark/2. Types of Machine Learning.vtt 21.2 kB
  • 6. Machine Learning with Spark/6. train Linear Regression Use Case.vtt 20.3 kB
  • 6. Machine Learning with Spark/12. Text Pre-processing with TF-IDF.vtt 18.3 kB
  • 6. Machine Learning with Spark/3. Analyzing results and Errors.vtt 17.4 kB
  • 3. Spark Programming with Python/5. train Transformations.vtt 17.2 kB
  • 6. Machine Learning with Spark/11. train Random Forests and PCA Use Case.vtt 16.2 kB
  • 6. Machine Learning with Spark/17. Recommendation Engines.vtt 16.1 kB
  • 7. APPLY Your Course Challenge Project/3. Final Solution Review - we did it !.vtt 15.7 kB
  • 6. Machine Learning with Spark/15. K-Means Clustering - grouping similar items.vtt 15.1 kB
  • 6. Machine Learning with Spark/8. train Decision Trees Use Case.vtt 14.6 kB
  • 6. Machine Learning with Spark/10. Random Forest Classification.vtt 14.2 kB
  • 6. Machine Learning with Spark/1. Types of Analytics - simple to predictive.vtt 14.2 kB
  • 5. Spark Streaming/3. train Spark Streaming.vtt 14.0 kB
  • 6. Machine Learning with Spark/7. Decision Trees Classification.vtt 13.5 kB
  • 4. Spark SQL/2. train SQL Data Frames.vtt 13.5 kB
  • 2. Introduction to Apache Spark/2. train Setup your Spark Python environment.vtt 13.2 kB
  • 2. Introduction to Apache Spark/6. Spark Architecture - How it all works..vtt 12.9 kB
  • 3. Spark Programming with Python/13. Advanced Spark.vtt 12.2 kB
  • 3. Spark Programming with Python/4. Transformations - Change how data looks.vtt 11.9 kB
  • 3. Spark Programming with Python/1. Loading and Storing Data.vtt 10.8 kB
  • 6. Machine Learning with Spark/16. train K-Means Clustering Use Case.vtt 10.6 kB
  • 6. Machine Learning with Spark/4. Spark ML Concepts - new data types.vtt 10.0 kB
  • 3. Spark Programming with Python/7. Actions - Extract insights from Data.vtt 9.9 kB
  • 6. Machine Learning with Spark/9. Principal Component Analysis.vtt 9.6 kB
  • 4. Spark SQL/1. Spark SQL Data Frames - the new era.vtt 9.3 kB
  • 2. Introduction to Apache Spark/1. Start your Spark engines.vtt 9.0 kB
  • 6. Machine Learning with Spark/14. train Naive Bayes and Text Pre-processing Use Case.vtt 9.0 kB
  • 3. Spark Programming with Python/2. train Loading and Storing Data.vtt 8.9 kB
  • 3. Spark Programming with Python/8. train Actions.vtt 8.5 kB
  • 1. Kick-start your learning/3. Your Course Guide - Pathway to success.vtt 8.4 kB
  • 3. Spark Programming with Python/11. train Key-Value RDDs.vtt 8.2 kB
  • 5. Spark Streaming/2. Spark Streaming Architecture - how it works..vtt 7.9 kB
  • 3. Spark Programming with Python/14. train Advanced Spark - Enhanced Capabilities.vtt 7.7 kB
  • 2. Introduction to Apache Spark/4. Apache Spark eco-system.vtt 7.1 kB
  • 2. Introduction to Apache Spark/3. train Run your first Spark Program !.vtt 6.9 kB
  • 2. Introduction to Apache Spark/5. RDD The foundation of Spark.vtt 6.3 kB
  • 4. Spark SQL/5. train Temp Tables Views.vtt 6.2 kB
  • 5. Spark Streaming/1. Spark Streaming - real time data processing.vtt 6.1 kB
  • 6. Machine Learning with Spark/18. train Recommendation Engines Use Case.vtt 5.8 kB
  • 2. Introduction to Apache Spark/7. Spark Project work flow - How it gets done..vtt 4.9 kB
  • 3. Spark Programming with Python/10. Key-Value RDDs.vtt 4.7 kB
  • 1. Kick-start your learning/2. Your learning Process - Learn, Train, Practice and Apply.vtt 4.1 kB
  • 1. Kick-start your learning/1. Meet Your Mentor.vtt 3.2 kB
  • 4. Spark SQL/4. Temp Tables Views - Easy querying.vtt 3.0 kB
  • 8. Conclusion/1. Closing Remarks.vtt 1.4 kB
  • 4. Spark SQL/3. @Practice() SQL Data Frames.html 511 Bytes
  • 3. Spark Programming with Python/3. @Practice() Loading and Storing Data.html 347 Bytes
  • 8. Conclusion/2. BONUS Lecture - Your next steps & Discount coupons.html 285 Bytes
  • 3. Spark Programming with Python/15. @Practice() Advanced Spark.html 272 Bytes
  • 3. Spark Programming with Python/6. @Practice() Transformations.html 221 Bytes
  • 3. Spark Programming with Python/12. @Practice() Key-Value RDDs.html 192 Bytes
  • 4. Spark SQL/6. @Practice() Temp Tables Views.html 172 Bytes
  • 2. Introduction to Apache Spark/8. Spark Architecture.html 150 Bytes
  • [FreeCourseLab.com].url 126 Bytes
  • 3. Spark Programming with Python/9. @Practice() Actions.html 117 Bytes
  • 7. APPLY Your Course Challenge Project/2. Hints to help you with the project.html 78 Bytes
  • 1. Kick-start your learning/4. Resource Bundle - Code and Data.html 68 Bytes
  • 7. APPLY Your Course Challenge Project/1. Real world problem Statement - Credit Card defaulters.html 54 Bytes

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