DMCT-NOTES/unit 4/00_Index.md

Unit 4: Classification and Prediction

Welcome to your simplified notes for Unit 4.

Table of Contents

1. 01_Classification_Basics
   • Classification vs Prediction
   • Training vs Testing
2. 02_Decision_Trees
   • How Trees work
   • Attribute Selection (Info Gain, Gini Index)
   • Pruning
3. 03_Bayesian_Classification
   • Bayes' Theorem
   • Naive Bayes Classifier
4. 04_KNN_Algorithm
   • Lazy Learning
   • Distance Measures
5. 05_Rule_Based_Classification
   • IF-THEN Rules