the code uses KNN, Gaussian Naive Bayes & SVM to classify images. It preprocesses, normalizes data, applies PCA , computes accuracy, precision etc. It evaluates k-NN using Euclidean distance & cosine similarity, visualizing results with line plots, 3D scatter plots, & confusion matrices to demonstrate classifier performance.
data-visualization image-classification cosine-similarity gradient-descent support-vector-machines knn principal-component-analysis dimension-reduction euclidean-distance label-encoding gaussian-naive-bayes confusion-matrix-analysis
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Updated
Jun 19, 2024 - Jupyter Notebook