FreeCourseLab com Udemy - Apache Spark 2 0 Python DO Big Data Analytics & ML

1. 1. Kick-start your learning/1. Meet Your Mentor.mp45.86MB
2. 1. Kick-start your learning/2. Your learning Process - Learn, Train, Practice and Apply.mp46.16MB
3. 1. Kick-start your learning/3. Your Course Guide - Pathway to success.mp412.19MB
4. 2. Introduction to Apache Spark/1. Start your Spark engines.mp413.44MB
5. 2. Introduction to Apache Spark/2. train Setup your Spark Python environment.mp427.61MB
6. 2. Introduction to Apache Spark/3. train Run your first Spark Program !.mp413.15MB
7. 2. Introduction to Apache Spark/4. Apache Spark eco-system.mp410.06MB
8. 2. Introduction to Apache Spark/5. RDD The foundation of Spark.mp49.1MB
9. 2. Introduction to Apache Spark/6. Spark Architecture - How it all works..mp418.72MB
10. 2. Introduction to Apache Spark/7. Spark Project work flow - How it gets done..mp46.56MB
11. 3. Spark Programming with Python/1. Loading and Storing Data.mp414.67MB
12. 3. Spark Programming with Python/10. Key-Value RDDs.mp47.28MB
13. 3. Spark Programming with Python/11. train Key-Value RDDs.mp416.18MB
14. 3. Spark Programming with Python/13. Advanced Spark.mp417.74MB
15. 3. Spark Programming with Python/14. train Advanced Spark - Enhanced Capabilities.mp414.19MB
16. 3. Spark Programming with Python/2. train Loading and Storing Data.mp418.1MB
17. 3. Spark Programming with Python/4. Transformations - Change how data looks.mp416.2MB
18. 3. Spark Programming with Python/5. train Transformations.mp433.34MB
19. 3. Spark Programming with Python/7. Actions - Extract insights from Data.mp414.24MB
20. 3. Spark Programming with Python/8. train Actions.mp418.73MB
21. 4. Spark SQL/1. Spark SQL Data Frames - the new era.mp413.25MB
22. 4. Spark SQL/2. train SQL Data Frames.mp426.04MB
23. 4. Spark SQL/4. Temp Tables Views - Easy querying.mp44.56MB
24. 4. Spark SQL/5. train Temp Tables Views.mp411.49MB
25. 5. Spark Streaming/1. Spark Streaming - real time data processing.mp48.77MB
26. 5. Spark Streaming/2. Spark Streaming Architecture - how it works..mp412.1MB
27. 5. Spark Streaming/3. train Spark Streaming.mp427.19MB
28. 6. Machine Learning with Spark/1. Types of Analytics - simple to predictive.mp420.46MB
29. 6. Machine Learning with Spark/10. Random Forest Classification.mp417.87MB
30. 6. Machine Learning with Spark/11. train Random Forests and PCA Use Case.mp440.41MB
31. 6. Machine Learning with Spark/12. Text Pre-processing with TF-IDF.mp425.91MB
32. 6. Machine Learning with Spark/13. Naive Bayes Classification.mp434.13MB
33. 6. Machine Learning with Spark/14. train Naive Bayes and Text Pre-processing Use Case.mp419.84MB
34. 6. Machine Learning with Spark/15. K-Means Clustering - grouping similar items.mp420.57MB
35. 6. Machine Learning with Spark/16. train K-Means Clustering Use Case.mp422.47MB
36. 6. Machine Learning with Spark/17. Recommendation Engines.mp420.61MB
37. 6. Machine Learning with Spark/18. train Recommendation Engines Use Case.mp412.24MB
38. 6. Machine Learning with Spark/2. Types of Machine Learning.mp429.12MB
39. 6. Machine Learning with Spark/3. Analyzing results and Errors.mp423.83MB
40. 6. Machine Learning with Spark/4. Spark ML Concepts - new data types.mp413.39MB
41. 6. Machine Learning with Spark/5. Linear Regression - fit to a line.mp432.97MB
42. 6. Machine Learning with Spark/6. train Linear Regression Use Case.mp444.83MB
43. 6. Machine Learning with Spark/7. Decision Trees Classification.mp418.44MB
44. 6. Machine Learning with Spark/8. train Decision Trees Use Case.mp432.15MB
45. 6. Machine Learning with Spark/9. Principal Component Analysis.mp412.55MB
46. 7. APPLY Your Course Challenge Project/3. Final Solution Review - we did it !.mp439.81MB
47. 8. Conclusion/1. Closing Remarks.mp42.2MB