Weekly Materials
Lecture Slides
Professor's main lecture presentation
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
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)