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College-Analysis

Project for "Statistical Learning" course module unsupervised

Daniele Tambone @ Dept of Math and Computer Science, University of Catania

This project provides an analysis of the College dataset using unsupervised learning techniques.
It includes model estimation and parameter tuning to select the best models for the variables,
dimensionality reduction methods such as PCA, and clustering analysis to identify patterns within the data.

You can view the final result of this report here.

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Analysis to identify patterns of U.S. colleges based on academic, financial, and demographic features

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