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
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Updated
May 28, 2024 - Jupyter Notebook