The purpose of the analysis was to create a report that includes what cryptocurrencies are on the trading market. The different classes are grouped to create a classification system for this new investment.
In the analysis, unsupervised learning is used to process the data, cluster the data, reduce the dimensions, and reduce the principal components using PCA. The data was processed to fit the machine learning models and a clustering algorithm. Finally, the data visualizations, found below showcase the findings.
