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This project leverages unsupervised learning to analyze cryptocurrency data by clustering cryptocurrencies based on their price changes over 24 hours and 7 days. The goal is to predict if cryptocurrencies are impacted by recent price fluctuations using K-means clustering and Principal Component Analysis (PCA) for dimensionality reduction.

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