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Running Start/CSB320 - Machine Learning Concepts/Class 4-16 (Classification Models).md

@@ -119,3 +119,5 @@ The algorithm is referred to as "naive" because it makes a few assumptions:
 ### Linear Discriminant Analysis
 
 Linear Discriminant Analysis (LDA) is a supervised learning method that is used to reduce the dimensionality of a dataset. It attempts to maximize the distance between groups and minimize the variation within classes. Since it is supervised it knows the category labels and uses them to maximize the distance between classes. 
+![[LDA.excalidraw]]
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