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2. You ate given a multivariate classification data set, which contains 195 handwritten letters of size 20 pixels x 16 pixels (i.e., 320 pixels). These

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2. You ate given a multivariate classification data set, which contains 195 handwritten letters of size 20 pixels x 16 pixels (i.e., 320 pixels). These images are from five distinct classes, namely, A, B, C, D, and E, where we have 39 data figure below shows five sample figures from each class. You are given two data files: from each class. The a. hw02_data_set_ images.csv: letter images, b. hw02 _data_set_labels.csv: corresponding class labels 83333 FLEEC 2. You ate given a multivariate classification data set, which contains 195 handwritten letters of size 20 pixels x 16 pixels (i.e., 320 pixels). These images are from five distinct classes, namely, A, B, C, D, and E, where we have 39 data figure below shows five sample figures from each class. You are given two data files: from each class. The a. hw02_data_set_ images.csv: letter images, b. hw02 _data_set_labels.csv: corresponding class labels 83333 FLEEC

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