Using KMeans algorithm to group tradable cryptocurrencies
This Jupyter notebook is a report of what cryptocurrencies are available on the trading market, and how they can be grouped using classification.
All data is retrieved from Crypto Compare, then preprocessed/cleaned before using Principal Component Analysis to reduce data dimensions. Then using the KMeans algorithm clusters of cryptocurrencies are generated and plotted, leaving us with 131 tradable cryptocurrencies.
