addition of unit 1 3 4 5

unit 4/00_Index.md

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+# Unit 4: Classification and Prediction
+
+Welcome to your simplified notes for Unit 4.
+
+## Table of Contents
+
+1. [[01_Classification_Basics|Classification Basics]]
+   - Classification vs Prediction
+   - Training vs Testing
+2. [[02_Decision_Trees|Decision Tree Induction]]
+   - How Trees work
+   - Attribute Selection (Info Gain, Gini Index)
+   - Pruning
+3. [[03_Bayesian_Classification|Bayesian Classification]]
+   - Bayes' Theorem
+   - Naive Bayes Classifier
+4. [[04_KNN_Algorithm|K-Nearest Neighbors (KNN)]]
+   - Lazy Learning
+   - Distance Measures
+5. [[05_Rule_Based_Classification|Rule-Based Classification]]
+   - IF-THEN Rules