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An analytic report outlining how different cryptocurrencies on the trading market can be grouped to create a new classification system for an investment portfolio and the investment's bank customers.

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machine-learning unsupervised-learning data-processing data-transformation k-means elbow-curves component-analysis linear-transformation pca dimensionality-reduction

cryptocurrencies's Introduction

Cryptocurrencies

Summary of the Analysis

The goal of this analysis is to create a report for an investment bank interested in offering a new cryptocurrency investment portfolio to their customers. This report will include the specific type of cryptocurrencies on the trading market and how they can be properly grouped together. The data provided by CryptoCompare will be processed to fit the machine learning models. Since there is no known output, unsupervised learning will be performed to process data, cluster dimensions, and reduce the principal components using PCA on the given data.

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