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fit-transform

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jmarihawkins / CryptoClustering

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This project aims to cluster various cryptocurrencies based on their market performance using machine learning techniques. The analysis involves several key steps: normalizing the data, reducing its dimensionality with Principal Component Analysis (PCA), and using K-Means clustering to identify distinct groups.

python ai artificial-intelligence pca-analysis data-analytics k-means predictive-modeling k-means-clustering scaler standard-scaler fit-transform
  • Updated May 28, 2024
  • Jupyter Notebook

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