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  • Lesson.No : 10
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  • Data Cleaning Introduction to Data Mining part 10

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Course Lessons

  1. 1- Basic Vocabulary Introduction to Data Mining part 1
  2. 2- Data Attributes (Part 1) Introduction to Data Mining part 2
  3. 3- Data Attributes (part 2) Introduction to Data Mining part 3
  4. 4- Basic Data Types Introduction to Data Mining part 4
  5. 5- Document Data & Transaction Data Introduction to Data Mining part 5
  6. 6- Graph and Ordered Data Introduction to Data Mining part 6
  7. 7- Data Quality Introduction to Data Mining part 7
  8. 8- Data Noise Introduction to Data Mining part 8
  9. 9- Missing & Duplicated Data Introduction to Data Mining part 9
  10. 10- Data Cleaning Introduction to Data Mining part 10
  11. 11- Data Aggregation Introduction to Data Mining part 11
  12. 12- Sampling for Data Selection Introduction to Data Mining part 12
  13. 13- Types of Sampling Introduction to Data Mining part 13
  14. 14- Dimensionality Reduction Introduction to Data Mining part 14
  15. 15- Feature Subset Selection Introduction to Data Mining part 15
  16. 16- Data Transformation Introduction to Data Mining part 16
  17. 17- Similarity & Dissimilarity Introduction to Data Mining part 17
  18. 18- Euclidean Distance & Cosine Similarity Introduction to Data Mining part 18
  19. 19- Evaluating Correlation Introduction to Data Mining part 19
  20. 20- Data Exploration & Visualization Introduction to Data Mining part 20
  21. 21- Summary Statistics Introduction to Data Mining part 21
  22. 22- Measures of Center & Spread Introduction to Data Mining part 22
  23. 23- Histograms & Box Plots Introduction to Data Mining part 23
  24. 24- Scatter Plots & Contour Plots Introduction to Data Mining part 24