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Used Machine Learning to create a cryptocurrency classification system for my investment banking client who is interested in offering cryptocurrencies for its customers.

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Cryptocurrencies Challenge

Overview of Project

The project involved the use of Machine Learning. My client is an investment bank who is interested in offering a new cryptocurrency investment portfolio for its customers. My client requested that I create a report that includes what cryptocurrencies are on the trading market and how they could be grouped to create a classification system for this new investment. To complete the project, I needed to preprocess the data, reduce data dimensions using PCA, clustering the cleaned data using K-means, and then developing visualizations for my results. My code can be found in "crypto_clustering.ipynb."

Results

The project deliverables were the following:

  • Preprocessing the Data for PCA
  • Reducing Data Dimensions Using PCA
  • Clustering Cryptocurrencies Using K-means
  • Visualizing Cryptocurrencies Results

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Used Machine Learning to create a cryptocurrency classification system for my investment banking client who is interested in offering cryptocurrencies for its customers.

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