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Lynda - Data Science Foundations: Data Mining
Categories: Tutorials
Lynda - Data Science Foundations: Data Mining - 475936
Lynda - Data Science Foundations: Data Mining
All data science begins with good data. Data mining is a framework for collecting, searching, and filtering raw data in a systematic matter, ensuring you have clean data from the start. It also helps you parse large data sets, and get at the most meaningful, useful information. This course, Data Science Foundations: Data Mining, is designed to provide a solid point of entry to all the tools, techniques, and tactical thinking behind data mining.


Table of Contents

  • Introduction
  • 1. Preliminaries
  • 2. Data Reduction
  • 3. Clustering
  • 4. Classification
  • 5. Anomaly Detection
  • 6. Association Analysis
  • 7. Regression Analysis
  • 8. Sequential Patterns
  • 9. Text Mining
  • Conclusion

    • Lynda - Data Science Foundations: Data Mining


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