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
  • Chapter 4: Understanding your features
  • Chapter 5: Preprocessing your features
  • Chapter 6: Classification
    • [6.1] Classifiers in scikit-learn
    • [6.2] Training a K Nearest Neighbour classifier
    • [6.3] Training a Decision Tree classifier
    • [6.4] Making predictions
  • Chapter 7: Evaluation
  • Chapter 8: Cross-validation
  • Chapter 9: Summary

Chapter 6

Classification

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Rough estimated time needed
20 mins

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Department of Computing | Imperial College London