An end-to-end visual data analysis project exploring feature distributions, relationships, unusual observations, and dimensionality reduction using a reproducible synthetic dataset. This project ...
This project demonstrates a simple and interpretable method for classifying geometric shapes — triangles, squares, and circles — using Principal Component Analysis (PCA) for feature extraction and ...
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