Cryptocurrencies coins by Worldspectrum | Free License

You are a Senior Manager at the Advisory Services team on a Big Four firm. One of your most important clients, a prominent investment bank, is interested in offering a new cryptocurrencies investment portfolio for its customers, however, they are lost in the immense universe of cryptocurrencies. They ask to help them make sense of it all by generating a report of what cryptocurrencies are available on the trading market and how they can be grouped using classification.

In this homework assignment, I will put my new unsupervivsed learning and Amazon SageMaker skills into action by clustering cryptocurrencies and creating plots to present the results.

The Jupyter Notebook details the following main tasks:

• Data Preprocessing: Preparing data for dimension reduction with PCA and clustering using K-Means.

• Reducing Data Dimensions Using PCA: Reducing data dimension using the PCA algorithm from sklearn.

• Clustering Cryptocurrencies Using K-Means: Predicting clusters using the cryptocurrencies data using the KMeans algorithm from sklearn.

• Visualizing Results: Creating some plots and data tables to present the results.

• crypto_clustering.ipynb