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Creating an k-means model to cluster cryptocurrencies

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Unsupervised Machine Learning and Cryptocurrencies

Purpose

Accountaibility Accounting, a hypothetical investment bank, wants to offer a new cryptocurrency investment portfolio and need a report including the cryptocurrencies that are currently being traded on the market and how they could be separated into groups. By first reducing dimensions and using the K-means algorithm, I created visualizations in order to share my findings with the board.

Results

  • Using te Elbow Curve, I found that the best value for K was 4
  • Below is a screenshot of the 3D-Scatter plot of the clusters and the PCA data:

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