Skip to content

Latest commit

 

History

History
14 lines (10 loc) · 926 Bytes

README.md

File metadata and controls

14 lines (10 loc) · 926 Bytes

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:

Resources