Learning Apache Spark with Python
  • 1. Preface
  • 2. Why Spark with Python ?
  • 3. Configure Running Platform
  • 4. An Introduction to Apache Spark
  • 5. Programming with RDDs
  • 6. Statistics and Linear Algebra Preliminaries
  • 7. Data Exploration
  • 8. Data Manipulation: Features
  • 9. Regression
  • 10. Regularization
  • 11. Classification
  • 12. Clustering
  • 13. RFM Analysis
  • 14. Text Mining
  • 15. Social Network Analysis
  • 16. ALS: Stock Portfolio Recommendations
  • 17. Monte Carlo Simulation
  • 18. Markov Chain Monte Carlo
  • 19. Neural Network
  • 20. Automation for Cloudera Distribution Hadoop
  • 21. Wrap PySpark Package
  • 22. PySpark Data Audit Library
  • 23. Zeppelin to jupyter notebook
  • 24. My Cheat Sheet
  • 25. JDBC Connection
  • 26. Databricks Tips
  • 27. PySpark API
  • 28. Main Reference
Learning Apache Spark with Python
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© Copyright 2017, Wenqiang Feng Last updated on Dec 05, 2021.