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Udemy - Apache Spark 2.0 + Python : DO Big Data Analytics & ML [TP]

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Udemy - Apache Spark 2.0 + Python : DO Big Data Analytics & ML [TP] (Size: 883.5 MB)
  1. Closing Remarks.mp4 2.2 MB
  1. Closing Remarks.vtt 1.4 KB
  1. Loading and Storing Data.mp4 14.7 MB
  1. Loading and Storing Data.vtt 10.5 KB
  1. Meet Your Mentor.mp4 5.9 MB
  1. Meet Your Mentor.vtt 3.1 KB
  1. Real world problem Statement - Credit Card defaulters.html 102 B
  1. Spark SQL Data Frames - the new era.mp4 13.3 MB
  1. Spark SQL Data Frames - the new era.vtt 9.1 KB
  1. Spark Streaming - real time data processing.mp4 8.8 MB
  1. Spark Streaming - real time data processing.vtt 6 KB
  1. Start your Spark engines.mp4 13.4 MB
  1. Start your Spark engines.vtt 8.8 KB
  1. Types of Analytics - simple to predictive.mp4 20.5 MB
  1. Types of Analytics - simple to predictive.vtt 13.8 KB
  1.1 Spark Python Course APPLY Project Problem Statement.pdf.pdf 449.7 KB
  10. Key-Value RDDs.mp4 7.3 MB
  10. Key-Value RDDs.vtt 4.6 KB
  10. Random Forest Classification.mp4 17.9 MB
  10. Random Forest Classification.vtt 13.9 KB
  11. train Key-Value RDDs.mp4 16.2 MB
  11. train Key-Value RDDs.vtt 8 KB
  11. train Random Forests and PCA Use Case.mp4 40.4 MB
  11. train Random Forests and PCA Use Case.vtt 15.8 KB
  12. @Practice() Key-Value RDDs.html 204 B
  12. Text Pre-processing with TF-IDF.mp4 25.9 MB
  12. Text Pre-processing with TF-IDF.vtt 17.8 KB
  13. Advanced Spark.mp4 17.7 MB
  13. Advanced Spark.vtt 12 KB
  13. Naive Bayes Classification.mp4 34.1 MB
  13. Naive Bayes Classification.vtt 24.6 KB
  14. train Advanced Spark - Enhanced Capabilities.mp4 14.2 MB
  14. train Advanced Spark - Enhanced Capabilities.vtt 7.5 KB
  14. train Naive Bayes and Text Pre-processing Use Case.mp4 19.8 MB
  14. train Naive Bayes and Text Pre-processing Use Case.vtt 8.7 KB
  15. @Practice() Advanced Spark.html 307 B
  15. K-Means Clustering - grouping similar items.mp4 20.6 MB
  15. K-Means Clustering - grouping similar items.vtt 14.7 KB
  16. train K-Means Clustering Use Case.mp4 22.5 MB
  16. train K-Means Clustering Use Case.vtt 10.3 KB
  17. Recommendation Engines.mp4 20.6 MB
  17. Recommendation Engines.vtt 15.7 KB
  18. train Recommendation Engines Use Case.mp4 12.2 MB
  18. train Recommendation Engines Use Case.vtt 5.6 KB
  2. BONUS Lecture - Your next steps & Discount coupons.html 307 B
  2. Hints to help you with the project.html 102 B
  2. Spark Streaming Architecture - how it works..mp4 12.1 MB
  2. Spark Streaming Architecture - how it works..vtt 7.7 KB
  2. Types of Machine Learning.mp4 29.1 MB
  2. Types of Machine Learning.vtt 20.7 KB
  2. Your learning Process - Learn, Train, Practice and Apply.mp4 6.2 MB
  2. Your learning Process - Learn, Train, Practice and Apply.vtt 4 KB
  2. train Loading and Storing Data.mp4 18.1 MB
  2. train Loading and Storing Data.vtt 8.7 KB
  2. train SQL Data Frames.mp4 26 MB
  2. train SQL Data Frames.vtt 13.2 KB
  2. train Setup your Spark Python environment.mp4 27.6 MB
  2. train Setup your Spark Python environment.vtt 12.9 KB
  2.1 Spark Python Course APPLY Project Solution Guide Hints.pdf.pdf 301.2 KB
  3. @Practice() Loading and Storing Data.html 307 B
  3. @Practice() SQL Data Frames.html 512 B
  3. Analyzing results and Errors.mp4 23.8 MB
  3. Analyzing results and Errors.vtt 17 KB
  3. Final Solution Review - we did it !.mp4 39.8 MB
  3. Final Solution Review - we did it !.vtt 15.3 KB
  3. Your Course Guide - Pathway to success.mp4 12.2 MB
  3. Your Course Guide - Pathway to success.vtt 8.2 KB
  3. train Run your first Spark Program !.mp4 13.2 MB
  3. train Run your first Spark Program !.vtt 6.7 KB
  3. train Spark Streaming.mp4 27.2 MB
  3. train Spark Streaming.vtt 13.7 KB
  4. Apache Spark eco-system.mp4 10.1 MB
  4. Apache Spark eco-system.vtt 6.9 KB
  4. Resource Bundle - Code and Data.html 102 B
  4. Spark ML Concepts - new data types.mp4 13.4 MB
  4. Spark ML Concepts - new data types.vtt 9.7 KB
  4. Temp Tables Views - Easy querying.mp4 4.6 MB
  4. Temp Tables Views - Easy querying.vtt 2.9 KB
  4. Transformations - Change how data looks.mp4 16.2 MB
  4. Transformations - Change how data looks.vtt 11.6 KB
  4.1 SparkPythonDoBigDataAnalytics-Resources.zip.zip 1.5 MB
  5. Linear Regression - fit to a line.mp4 33 MB
  5. Linear Regression - fit to a line.vtt 22.8 KB
  5. RDD The foundation of Spark.mp4 9.1 MB
  5. RDD The foundation of Spark.vtt 6.1 KB
  5. train Temp Tables Views.mp4 11.5 MB
  5. train Temp Tables Views.vtt 6 KB
  5. train Transformations.mp4 33.3 MB
  5. train Transformations.vtt 16.8 KB
  6. @Practice() Temp Tables Views.html 204 B
  6. @Practice() Transformations.html 204 B
  6. Spark Architecture - How it all works..mp4 18.7 MB
  6. Spark Architecture - How it all works..vtt 12.6 KB
  6. train Linear Regression Use Case.mp4 44.8 MB
  6. train Linear Regression Use Case.vtt 19.8 KB
  7. Actions - Extract insights from Data.mp4 14.2 MB
  7. Actions - Extract insights from Data.vtt 9.7 KB
  7. Decision Trees Classification.mp4 18.4 MB
  7. Decision Trees Classification.vtt 13.2 KB
  7. Spark Project work flow - How it gets done..mp4 6.6 MB
  7. Spark Project work flow - How it gets done..vtt 4.8 KB
  8. Spark Architecture.html 102 B
  8. train Actions.mp4 18.7 MB
  8. train Actions.vtt 8.3 KB
  8. train Decision Trees Use Case.mp4 32.1 MB
  8. train Decision Trees Use Case.vtt 14.3 KB
  9. @Practice() Actions.html 102 B
  9. Principal Component Analysis.mp4 12.6 MB
  9. Principal Component Analysis.vtt 9.3 KB
  [Tutorialsplanet.NET].url 102 B
  ▲ 110 total files

Description


Udemy - Apache Spark 2.0 + Python : DO Big Data Analytics & ML [TP]

Project Based, Hands-on Practices, Spark SQL, Spark Streaming, Real life Full cycle Project

For more Udemy Courses: https://tutorialsplanet.net

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