Cleaning cryptocurrency data and using unsupervised machine learning to create clusters. Data was first processed, cleaned, and then reduced using PCA. Cryptocurrency coins were then clustered using K-means, and data was visualized on both a 3-D and scatter plot (see crypto_clustering.ipynb for reference/images below).
