diff --git a/Excalidraw/Drawing 2026-05-22 08.33.38.excalidraw.md b/Excalidraw/Drawing 2026-05-22 08.33.38.excalidraw.md new file mode 100644 index 0000000..2fb4ba8 --- /dev/null +++ b/Excalidraw/Drawing 2026-05-22 08.33.38.excalidraw.md @@ -0,0 +1,96 @@ +--- + +excalidraw-plugin: parsed +tags: [excalidraw] + +--- +==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: 'Decompress current Excalidraw file'. For more info check in plugin settings under 'Saving' + + +# Excalidraw Data + +## Text Elements +%% +## Drawing +```compressed-json +N4KAkARALgngDgUwgLgAQQQDwMYEMA2AlgCYBOuA7hADTgQBuCpAzoQPYB2KqATLZMzYBXUtiRoIACyhQ4zZAHoFAc0JRJQgEYA6bGwC2CgF7N6hbEcK4OCtptbErHALRY8RMpWdx8Q1TdIEfARcZgRmBShcZR5tHgBmbXiaOiCEfQQOKGZuAG1wMFAwYogSbgh4rAAGIyN6ABUU4shYRHLA7CiOZWCmksxuZwBGAA4ATm0AFjGANiqx+IB2AFZ+ + +EphBnkmh7UX4qsmZkZW1yAoSdW5JkeXdqvihnlWCyEkEQmVpbniR2MX/+KTJbPZoQaw9cSoKqnCDMKCkNgAawQAGE2Pg2KRygBiIYIPF4vqQTS4bCI5QIoQcYhojFYiTw6zMOC4QJZIkQABmhHw+AAyrBehJBB4OXCEciAOoXSTcPgvWHwpEIAUwIXoEVlGGUz4ccI5NBDGFsFnYNQbQ1VaEKinCOAASWIBtQuQAujDOeQMo7uBwhLyYYRqVhyrg + +qhzKdS9cxnUVQa1IfEXgBfGFhBDEbhDIYrEZHHhGhWMFjsLhoZYgkrF1icABynDEWZmYzGQ3i8RblcghGYABE0lAM9xOQQwjDNMJqQBRYIZLLOv0BhVCODEXCDzOG/5jQ6TKpbWbxGFEDiI33+/DHthkodoEf4MIFVMFOPdzfoACaACkUQAZACqAD6tZwGSACCYycvgtb1LWFAAI5TvaHIJuUJ5IDCAxoDwMyxFUMwzHuuFdhAFqoMMxzaG2MyLK + 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+hLSXk9wzQI2WDrZA+QuCuAJguwW4L8FpzKGp0EICMB6gAA/AN/PxbZNLUwQcJfTBhCmy4QBgZedkykluK/C9cAwHyDSBJL+RTFG5HCDAjhLIl0S1GMAscDMBXFaILIO3LFiZAhAwnCAFuyp7NpOQTATIIvC5GuKA5PYGIS4pCUUyclCsnsGLBIAsU/FuAaWdDGGWaKLFrxTAPksSWyLOAgSlyHoCyC4AgwEAcAEQkSmolgAyYEAMmCAA +``` +%% \ No newline at end of file diff --git a/Running Start/CSB320 - Machine Learning Concepts/Class 4-16 (Classification Models).md b/Running Start/CSB320 - Machine Learning Concepts/Class 4-16 (Classification Models).md index ce2f20d..02bb16d 100644 --- a/Running Start/CSB320 - Machine Learning Concepts/Class 4-16 (Classification Models).md +++ b/Running Start/CSB320 - Machine Learning Concepts/Class 4-16 (Classification Models).md @@ -115,4 +115,7 @@ The posterior probability ( $P(A|B)$ ) is the probability that $A$ happens given The algorithm is referred to as "naive" because it makes a few assumptions: - There is no correlation between the features in the dataset, they are all independent -- Each feature has an equal importance when predicting the output class \ No newline at end of file +- Each feature has an equal importance when predicting the output class +### 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.