WEEK 8: CLASSIFICATION

Supervised learning classification, k-NN, Naive Bayes, decision trees, and ensemble methods

November 03, 2025

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Weekly Materials

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Lecture Slides

Professor's main lecture presentation
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TA Practice Slides

Hands-on tutorials and practice exercises

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Lesson Guide

Comprehensive explanations and theory

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Code Examples

Decision Tree Demo Classification Examples
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References & Resources

ISL Ch. 4 & Ch. 8 Classification Methods and Tree-Based Methods
PML Ch. 8.1–8.4 Logistic regression, generative vs discriminative classifiers

Additional Notes

Week 8: Classification

Topics Covered

  • Supervised Learning: Classification
  • k-Nearest-Neighbours
  • How to evaluate Classifiers
  • Naive Bayes
  • Decision Trees
  • Combining Models (Boosting, Bagging – if time permits)

Further Reading

  • ISL Ch. 4: Classification
  • ISL Ch. 8: Tree-Based Methods
  • PML Ch. 8.1–8.4: Logistic regression, generative vs discriminative classifiers
  • PML Ch. 8.5: Bayesian logistic regression (optional)