Python Programming

Department of Computing | Imperial College London

book

Introduction to Scikit-learn

  • Chapter 1: Introduction
  • Chapter 2: Classification pipeline
  • Chapter 3: Understanding your data
    • [3.1] Understanding your data
    • [3.2] How many instances?
    • [3.3] How many attributes?
    • [3.4] How many categories?
    • [3.5] Class distribution?
  • Chapter 4: Understanding your features
  • Chapter 5: Preprocessing your features
  • Chapter 6: Classification
  • Chapter 7: Evaluation
  • Chapter 8: Cross-validation
  • Chapter 9: Summary

Chapter 3

Understanding your data

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Rough estimated time needed
15 mins

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Department of Computing | Imperial College London